Did Mr Hodges ever say "Welcome to my World?" (i)

The source for the post:

'Move Over LLMS! AI Legends Yann LeCun and Alex LeBrun
Debut AMI Labs' Bold Ambitions for World Models in Healthcare' 

- reminds me that Hodges' model provides a potential 'World Model'. Not just one world, but (seriously and non-trivially) several, in the form of the  ...

• Nurse's
• Student's*
• Patient's
• Carer's
• Team Leader's / Managers
• and yes the team's too - the sum total of all that effort. ...

 Hodges' model is applicable in assessment, planning, interventions, evaluation and review. The key of course, is as was as computers first arrived on wards and clinics: the human users of Hodges' model.

Of course, each comes with their own, hard won (see what I did there!) model, that needs extending by several intensive years of study. 

Situated and person-centred, Hodges' model can assist all its users, to 'incorporate the learned dynamics of the environment', however it presents: medicine anyone? What about surgical, psychiatry, paediatrics, orthopaedics, or gynaecology? You get my drift?


Wenninghoff, N., Schwammberger, M. (2026). Interpretable World Model Imaginations as Deep Reinforcement Learning Explanation. In: Guidotti, R., Schmid, U., Longo, L. (eds) Explainable Artificial Intelligence. xAI 2025. Communications in Computer and Information Science, vol 2578. Springer, Cham. https://doi.org/10.1007/978-3-032-08327-2_7  

 *And not necessarily a student nurse, but possibly medical, social work, psychology, probation, ... ai!

Mr Brian E. Hodges (RIP)

Biology, axioms, teleology and knowledge c/o Cox & Forshaw (2012)

'Teleological ideas generally have a rather bad reputation in science, and it's easy to see why. In biology, a teleological explanation for the emergence of complex creatures would be tantamount to an argument for the existence of a designer, whereas Darwin's theory of evolution by natural selection provides a simpler explanation that fits the available data beautifully. There is no teleological component to Darwin's theory - random mutations produce variations in organisms, and external pressures from the environment and other living thing determine which of these variations are passed on to the next generation. This process alone can account for the complexity we see in life on Earth today. In other words, there is no need for a grand plan and no gradual ascent of life towards some sort of perfection. Instead, the evolution of life is a random walk, generated by the imperfect copying of genes in a constantly shifting external environment. The Nobel-Prize-winning French biologist Jacques Monod went so far as to define a cornerstone of modern biology as "the systematic or axiomatic denial that scientific knowledge can be obtained on the basis of theories that involve, explicitly or not, a teleological principle".

As far as physics is concerned, there is no debate as to whether or not the least action principle actually works, for it allows calculations to be performed that correctly describe Nature and it is a cornerstone of physics. It can be argued that the least action principle is not teleological at all, but the debate is in any case neutralized once we have a grasp of Feynman's approach to quantum mechanics. The ball flying through the air 'knows' which path to choose because it actually, secretly, explores every possible path.' pp.52-53.

Cox, Brian, and Jeff Forshaw. (2012) Quantum Universe, the: Everything That Can Happen Does Happen. London: Penguin Books Ltd.

See also: 

Jacques Monod - https://www.informationphilosopher.com/solutions/scientists/monod/

Harrison, Peter. 2022. 'The History of Science and Theology', St Andrews Encyclopaedia of Theology. Edited by Brendan N. Wolfe et al. https://www.saet.ac.uk/Christianity/TheHistoryofScienceandTheology

Greslehner GP. "Molecular Biology"- Pleonasm or Denotation for a Discipline of Its Own? Reflections on the Origins of Molecular Biology and Its Situation Today. Biomolecules. 2023 Oct 12;13(10):1511. doi: 10.3390/biom13101511. PMID: 37892193; PMCID: PMC10605324.

Previously: 'axiom' : 'biology' : 'corner'

If "mechanism-based approach to theorizing offers an encompassing way ...

... to think about social and ecological phenomena":

What if there was a model that could encompass 
mechanism-based and humanistic-based theorising?

'A core challenge of studying ecosystems and societies as one system is integrating social and ecological theorizing. Although the social and the ecological intertwine in multiple ways, much traditional theory focuses on one or the other (Schlüter et al. 2022). Despite good intentions, attempts for integration are often only partially successful. One reason for this is the apparent incommensurability of methodological and theoretical approaches. However, the mechanism-based approach to theorizing offers an encompassing way to think about social and ecological phenomena by framing them in terms of entities and their interactions. Mechanism-based theorizing has been gaining popularity in science philosophy (Machamer et al. 2000, Craver 2007, Glennan and Illari 2017), including social sciences philosophy (Elster 1989, Hedström and Swedberg 1998, Hedström and Ylikoski 2010) and philosophy of ecology (Pâslaru 2017, González del Solar et al. 2019). It has helped to resolve many traditional problems related to scientific explanation and it is consistent with the way in which social and natural scientists talk about theorizing, causation, and explanation.'

 

Fig. 1. The social-ecological expansion of Coleman’s diagram.

Martínez-Peña, R., & Ylikoski, P. (2024). Coupling social and ecological mechanisms with the Coleman boat. Ecology and Society, 29(4). https://doi.org/10.5751/ES-15209-290406

See also: 'micro' : 'macro' : 'Bunge'

Modelling turbulence in flight: and other situations?

'Thomas Q. Carney, a retired professor of aviation technology at Purdue University in Indiana who has logged more than 11,000 flight hours as a pilot, said, "The better the model, the more it captures of the particular turbulent field, then the better the forecast, which is what the pilot is going to use."'

individual

|

INTERPERSONAL : SCIENCES

humanistic -------------------------------------------  mechanistic

SOCIOLOGY : POLITICAL

|

group-population

complexity and turbulence here ...	Birnir, B., & Angheluta, L. (2025). Scaling of Lagrangian structure functions. Phys. Rev. Res., 7(2), 023225.  https://doi.org/10.1103/PhysRevResearch.7.023225
here	and here ...

'To try to make sense of chaos, Dr. Birnir worked with Luiza Angheluta-Bauer, a theoretical physicist at the University of Oslo, to devise a model that combines two different methods for observing turbulence: what are known as Lagrangian and Eulerian mechanics. Experts say that neither framework can fully explain how turbulence works. 

That's because these two frameworks look at fundamentally different aspects of a turbulent system. In Lagrangian mechanics. researchers observe a simple particle. while in the Eulerian framework they look at a single point in space. Put simply, Lagrangian mechanics is like watching a leaf flow downriver, subject to the whims of eddies in the water. On the other hand, Eulerian mechanics is like watching a rock that protrudes from the river's surface and studying how the turbulence of the water moves around that fixed point.

Lagrangian turbulence is trickier to model because it requires an understanding of how a lone particle will behave. That lone particle will "execute the most complicated motion that you could imagine," Dr. Birnir said.

Knowing how each type of turbulence fits into the bigger picture is akin to selecting the appropriate lens for a microscope, since both are highly dependent on perspective. "Same turbulence, different stories," said Tomek Jaroslawski a postdoctoral fellow at the Center of Turbulence Research at Stanford University.' Nazaryan, p.12.

Nazaryan, A. A new theory of in-flight turbulance lands, Science: The New York Times International Edition, October 15, 2025, p.12.

[Subscription: https://www.nytimes.com/2025/09/24/science/physics-airplanes-turbulence.html ].

See previously: 'care architecture' : 'Serres' : 'complexity' - and, if needed 'spiritual'

Come on Healthcare: catch up will you!

Within philosophy it is recognised that Immanuel Kant provided a means by which the rationalists and empricists can be reconciled. Some background:

In philosophy, rationalism is the epistemological view that "regards reason as the chief source and test of knowledge"[1] or "the position that reason has precedence over other ways of acquiring knowledge",[2] often in contrast to other possible sources of knowledge such as faith, tradition, or sensory experience. More formally, rationalism is defined as a methodology or a theory "in which the criterion of truth is not sensory but intellectual and deductive".[3]  https://en.wikipedia.org/wiki/Rationalism

In philosophy, empiricism is an epistemological view which holds that true knowledge or justification comes only or primarily from sensory experience and empirical evidence.[1] It is one of several competing views within epistemology, along with rationalism and skepticism. Empiricists argue that empiricism is a more reliable method of finding the truth than purely using logical reasoning, because humans have cognitive biases and limitations which lead to errors of judgement.[2] Empiricism emphasizes the central role of empirical evidence in the formation of ideas, rather than innate ideas or traditions.[3] Empiricists may argue that traditions (or customs) arise due to relations of previous sensory experiences.[4]

Historically, empiricism was associated with the "blank slate" concept (tabula rasa), according to which the human mind is "blank" at birth and develops its thoughts only through later experience.[5] https://en.wikipedia.org/wiki/Empiricism

If health and social care, must be evidence-based, then as far as Hodges' model is concerned we are then duty-bound to use the most readily available 'evidence' to us, including (while taking liberties?):

• The structure of national health and social care organisations (NHS, DHSS ...)
• Physical infrastructure
• Human Resources Organisation
• Unions and Labour relations
• Texbooks, journal papers, conferences
• Organisational structures from the regional to the local
• Professional bodies and governance of licensing/registration
• Curricula that students follow^
  
• Models, frameworks, teaching and learning tools and methods
• Data, statistics, information and reporting (national, international)
• Research projects ongoing (whatever scale, methods, methodology)
• Accounts from lived experience of patients, carers and public (^and students)
• Policy
• Funding
• Law relating to Health and Social Care
• Public (Mental) Health? Discuss
• Media (Social) Control, Advertising
• . . .
  

Hodges' model: Structure and Content

Using this evidence, we still see the Cartesian divide, the mind-body distinction writ large in health and social care. The continuing impact is evident in theory, practice, (hence) lived experience, policy and managment. Since its creation in the 1980s, Hodges' model mirrors (literally) this philosophical, epistemological and ontological legacy, thereby acknowledging the ancient history of medicine, and 'modern' development of healthcare and nursing. Through this device, Hodges' model can facilitate debate, critique, reflection, and critical thinking; to encourage progress in our thought, motivations, action and subsequent evaluation.

This explains the structure of Hodges' model and predicts the range (contextual signature) of content when the model is applied.

Evidence permitting of course!

See also: BBC The Great Philosophers:

Series 1: 4. Descartes

Series 1: 5. Spinoza and Leibniz

Series 1: 8. Kant

n.b. I video taped this marvellous series when first screened. When studying for my BA(Hons), audio taped, they also provided a great learning resource in the car. The programmes are on BBC 4 (UK) once again, but are readily accessible.

Is it? Can it be? An elevator pitch!

How many times have people asked me?

"If you were to explain Hodges' model as an elevator pitch what would you say?"

So, what would it be?

I wrote this on twitter and think it's a step in the right direction - domains: 

There is -

              *Person, self, individual ..

*Other(s), collective, pop.. 

      (a) person has MIND & BODY (for now!) 

(a) person is supported by ALL Others 

We call this Humanity

For the majority all bridges *cognitively* accessible:

  https://hodges-model.blogspot.com 

n.b. Politicians, policy makers

Virtual Evening Seminars on Topics in Artificial Intelligence - BCS-SGAI

BCS Specialist Group on Artificial Intelligence (BCS-SGAI)
Virtual Evening Seminars on Topics in Artificial Intelligence

The first three events in this year's programme of virtual evening seminars will be on March 26^th, April 9^th and May 14^th. All the virtual seminars are free of charge and open to all. No registration is necessary. 

Further details are given below.

 

(1) Wednesday March 26th 2025 from 6 p.m. to 7:30 p.m. (UK time): 

'Symbolic AI versus Neuro-Symbolic AI'

Dr George Baryannis (University of Huddersfield) on 'Knowledge-based Artificial Intelligence: Achieving Inherent Explainability in Intelligent Applications'.

Dr Mercedes Arguello Casteleiro (SGAI) on 'One Digital Health: Symbolic AI versus Neuro-Symbolic AI' and -

Dr Safaa Menad (University of Rouen, France) on 'Merging and Validating Health Ontologies'.

Website (including Zoom link): 

https://www.bcs-sgai.org/seminars/2025-03-26/

 

(2) Wednesday April 9th 2025 from 6 p.m. to 7:30 p.m. (UK time): 'Computer Vision Applications'.

There will be two talks: Dr James Haworth (University College London) on 'Progress in computer vision for scene understanding in urban analytics' and Dr Tianjin Huang (University of Exeter) on ' Benchmarking the Robustness of Remote Sensing Foundation Models'.

Website (including Zoom link): https://www.bcs-sgai.org/seminars/2025-04-09/

 

(3) Wednesday May 14th 2025 from 6 p.m. to 7:30 p.m. (UK time), as part of our Knowledge Discovery and Data Mining series. There will be two talks: Prof. Dr. Anna Fensel (Wageningen University, The Netherlands) on 'Knowledge graphs, FAIR principles and generative AI for scientific discoveries in agri-food' and Dr Anelia Kurteva (Assistant Professor of Computer Science, University of Birmingham, UK) on 'Responsible AI through responsible data management and governance enabled by knowledge graphs'

Website (including Zoom link): (link to follow)

 

To register for information about future SGAI events go to https://www.bcs-sgai.org/register/

Max Bramer, Chair BCS-SGAI

(- and my source BCS-SGAI list)

The Science of Conceptual Systems - and Hodges' model

Wallis, S.E. The Science of Conceptual Systems: A Progress Report. Found Sci 21, 579–602 (2016). https://doi.org/10.1007/s10699-015-9425-z

From the conclusion:

'The approaches presented here do not provide a ‘‘map’’ for advancing the sciences. Indeed, none is available because we are advancing across that new terrain. What it does provide is a compass suggesting a new and potentially exciting direction to travel. Historically/traditionally, scholars have travelled about the countryside of the social/behavioral land making useful observations and gathering interesting data. They have often staked claims regarding the importance of their terrain. They could not advance more purposefully because they were guided only by intuition. So, they did not know what direction was ‘‘forward’’ although it seemed to have something to do with empirical analysis. Today, with the creation of a new science, we have a new direction.

When we do have a choice between theoretical maps, generally, and metaphorically, this paper suggests that we should choose to create and use roadmaps with many dots connected by many lines; not maps with few disconnected dots.' p.594.

There is also a glossary [pp.594-599] that includes:

'Integral thinking

Understanding (or attempting to understand) the world from a transdisciplinary perspective where those many perspectives are interrelated'

'Integrative propositional analysis (IPA)

Combined processes of qualitative and quantitative analysis involving rigorous hermeneutic deconstruction of propositions found in formal texts including the rigorous reintegration of propositions from those texts following a structured methodology. Also a process of meta-analysis for investigating conceptual systems to determine the Complexity of conceptual systems (diversity of concepts) and the Systemicity of the conceptual system (connectedness between concepts)'

'Mental model 

A representation within one’s mind about how the world works. Useful for understanding and engaging the world and for making predictions'

'Parsimony 

Generally, the understanding that a theory is better when it is smaller. Or, as small as possible while including ideas that are necessary or useful. Ockham’s Razor is a common example'

INDIVIDUAL

|

INTERPERSONAL : SCIENCES              

humanistic ---------------------------- mechanistic

SOCIOLOGY : POLITICAL   

|

GROUP

more SUBJECTIVE	more OBJECTIVE
QUALITY	QUANTITY

'Reflexive dimensional analysis (RDA) 

A process for creating a unified conceptual system from multiple conceptual systems through a process of categorization, abstraction, dimensionalization, and the identification of causal connections'

'Theory 

An ordered set of assertions. Weick (1989, p. 517. Drawing on Southerland)'

Cited above: 

Weick, K. E. (1989). Theory construction as disciplined imagination. Academy of Management Review, 14(4), 516–531.

Previously:

terrain : landscape : line-of-sight (with overlap; of interest in itself)

The naïve approach ii - Seeking / Avoiding a Catastrophe

In addition to Dodson's book I borrowed:

'Catastrophe Theory'
Image: Amazon

Zeeman, E.C. (1977) Catastrophe Theory-Selected Papers 1972–1977, Reading, MA: Addison-Wesley.

From the mid-1970s I remember catastrophe theory rather bursting on to the science scene. Articles in New Scientist (in a box somewhere?), Scientific American plus a BBC TV episode of Horizon (seeking details - originally aired July 28, 1975, 60 minutes 'Happy Catastrophe')*, that highlighted potential for new insights into the behaviour inside prisons. and other applications in the social sciences.

The CONTENTS reads:

GENERAL INTRODUCTORY PAPERS 

1. Catastrophe theory : Draft for a Scientific American article 1

2. Levels of structure in catastrophe theory 65

 BIOLOGICAL SCIENCES 80

3. Differential equations for the heartbeat and nerve impulse 81 

4. Primary and secondary waves in developmental biology 141 

5. A clock and wavefront model for the control of repeated structures during animal morphogenesis (with J.Cooke) 235

6. Gastrulation and formation of somites in amphibia and birds (Addendum by R. Bellairs.) 257 

7. Dialogue between a Biologist and a Mathematician 267 

8. Brain modelling 287 

9. Duffing's equation in brain modelling 293

 SOCIAL SCIENCES 302

10. Some models in the social sciences (with C.A.Isnard) 303 

11. On the unstable behaviour of stock exchanges 361 

12. Conflicting judgements caused by stress 373 

13. A model for institutional disturbances (with C.S.Hall, P.J.Harrison, G.H.Marriage, P.H.Shapland) 387

14. Prison disturbances 403 

PHYSICAL SCIENCES 408 

15. A catastrophe machine 409

16. Euler buckling 417 

17. Stability of ships 441

MATHEMATICS 496

18. The classification of elementary catastrophes of codimension <= 5 (with D.J.A.Trotman) 497

19. The umbilic bracelet and the double-cusp catastrophe 563 

DISCUSSION 604

20. Research ancient and modern 605 

21. Catastrophe theory : its present state and future perspectives (with R.Thom) 615

22. Afterthought 651 

As an area of contention the subject of catastrophe theory (CT) possibly presents(?) a dual-cusp of contention. Firstly, CT brought with it controversy within academia and mathematics. The book was reviewed by T. W. Barrett, Department of Physiology and Biophysics, University of Tennessee Center for the Health Sciences, Memphis, TN 38163: 

'Catastrophe theory (CT), as a new field in mathematics with many possible ramifications for both the physical and biological sciences, has recently been the subject of much controversy (see [1]-[5]). This controversy, in this reviewer's opinion, has served a valuable purpose insofar as it has stimulated the theory's proponents to refine and delineate their concepts more clearly. Catastrophe theory was developed by the Field prize winner, Rene Thom; but much work has been accomplished by E. C. Zeeman and his group, especially with respect to applications.' pp.609-610. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS, VOL. SMC-9, NO. 9, SEPTEMBER 1979. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4310286 

Stephen Smale also reviewed Zeeman's book; BULLETIN OF THE AMERICAN MATHEMATICAL SOCIETY Volume 84, Number 6, November 1978. 1360-1368. 

https://www.ams.org/journals/bull/1978-84-06/S0002-9904-1978-14580-7/S0002-9904-1978-14580-7.pdf

'To write a review in this environment has a very personal side for me. On one hand my own work on dynamical systems is closely connected to the origins of CT. I have had a long and close personal and professional relationship with both Thorn and Zeeman. More than 20 years ago I was discussing singularities of maps, transversality, and immersions with René Thom. Thom tried to interest me in an early draft of chapters of his book Structural stability and morphogenesis in 1966.

On the other hand I have remained skeptical and aloof from CT, perhaps due to my conservatism in science. While my colleagues and students were showing enthusiasm for CT, I gave critical lectures, one at the University of Chicago in 1974, one at the Aspen Institute of Physics in 1975. More recently I have been quoted negatively in the "Science" and New York Times references above. This is the first time I have written on the subject, and I should warn the reader of this negative bias, far from shared by many of my fellow mathematicians.' p.1360.

Some defenders of CT may accuse me of discussing very special examples not characteristic of the literature of the subject. I feel that the problem of lack of justification discussed above, is also found in Zeeman's other models. Furthermore Thorn's models are even less specific and less developed. On the other hand, Thorn's work in CT covers many subjects; in this connection Zeeman writes in his Scientific American article, April 1976, p. 65: "The method has the potential for describing the evolution of form in all aspects of nature, and hence it embodies a theory of great generality."' p.1366.

The book's introductory papers are somewhat confusing in content, as drawn to 'SOCIAL SCIENCES' it is the introductory section (and Part Two) that includes  'Anorexia nervosa', Example 9 pp.33-52. 

This is the second 'cusp' as the assessment, diagnosis, intervention, outcomes, skilled staff, access to specialised mental health services remains contentious to this day. As a charge nurse on a female acute admission mental health ward in the early 1980s, eating disorders have always presented a 'clinical' challenge. Often within a staff group and for individual staff members too.

Twitter/X is hardly an objective record but it appears today, that people and families affected by eating disorder continue to advocate for appropriate service provision, treatment and recognition. Recognition that can also develop evidence-based interventions. As discussed by Dr. Agnes Ayton, consultant psychiatrist and others in the video below:

A related paper:

Ibrahim, A., Ryan, S., Viljoen, D. et al. Integrated enhanced cognitive behavioural (I-CBTE) therapy significantly improves effectiveness of inpatient treatment of anorexia nervosa in real life settings. J Eat Disord 10, 98 (2022). https://doi.org/10.1186/s40337-022-00620-y [ My source: @AgnesAyton ]

The Zeeman chapter on anorexia nervosa is interesting graphically and conceptually ...

Page 42. Figure 20. The effect of the butterfly factor, d>0.
(Sorry for the image quality)

- but is of course 'from another time' and is clearly not person-centred. Eating disorders affect many people in the UK and are a cause of trauma, distress, disrupted life-chances and mortality. Referring to Hodges' model, such graphics, reinforce the idea that 'solutions' are to be found in the mechanistic and quantitative domains of the sciences and politics (choice, power, services, safety..). Here, maths and theories (seemingly) provide an explanation for people who are ill, and need treatment. As a teenager for most of the 1970s, Hodges' model was not yet a reality. As I have found since 1987-8 looking at the POLITICAL care/knowledge domain, the model's relevance has increased since the start of my nursing career in 1977. Consider for example, the politics of:

• the global phenomena of famine
• - whether or not associated with economic crisis, drought, other natural disaster, or conflict, political crisis
• ultra-processed foods
• obesity pandemic
• weight loss drugs
• appetite stimulants
• appetite suppressants
• eating disorder (anorexia and bulimia) across care sectors - primary, secondary, specialist
• community / in-patient care
• person-centred care
• user involvement in service design
• the availability of treatment modalities - psychotherapy (as in the video)
• the impact on family relationships and peer group (estranged - loss of friends)
• diagnostic blurring - psychosis, borderline personality disorder - the rise of 'anti-psychiatry'

Here then is the purpose of this post, what potential is there to look at nutrition from a situated individual and collective (global) perspective? This could be focussed on nutrition, or eating disorder; or alternately take a collective stance to encompass the global food supply and the industry. Discovering the diffeomorphism, I wonder if there are others, and their respective properties and character? 

INDIVIDUAL

|

INTERPERSONAL : SCIENCES              

humanistic ------------------------------- mechanistic

SOCIOLOGY : POLITICAL   

|

GROUP

COGNITIVE THERAPY EMPATHY&RAPPORT LISTENING - MUTUAL ENGAGEMENT MENTAL HEALTH DIAGNOSIS TRAINED / SKILLED STAFF EVIDENCE-BASED INTERVENTIONS* MOTIVATION MOOD MULTIMORBIDITY	RESEARCH EATING DIET NUTRITION NUTRITIONAL VALUE WEIGHT BMI IN-PATIENT UNIT place of safety
PUBLIC HEALTH SOCIETY FAMILY CARERS	Developed nations are collectively and increasingly 'eating disordered' and exporting this 'lifestyle'.

Before I return the book, I will revisit the discussion section.

See also:

Jones P, Wirnitzer K. Hodges’ model: the Sustainable Development Goals and public health – universal health coverage demands a universal framework. BMJ Nutrition, Prevention & Health 2022;5:doi: 10.1136/bmjnph-2021-000254

*I could not find on BBC website. I have contacted the Open University. I did find - 'In this Horizon episode, Rene Thom's mathematical discovery of the catastrophe theory is investigated.' at  https://thetvdb.com/series/horizon/episodes/1385431

Case formulation - Theory and Practice

 Still sorting papers, I've discovered copies of slides from the COPE course University of Manchester on Case Formulation by John McGovern.

An original purpose for Hodges' model is to help bridge the theory-practice gap.

The slides include -

• content: ingredients - preliminary formulation
• a means of understanding an individual's problems and distress in line with cognitive behavioural theory
• hypothesis to explain acquisition, and maintenance of problem
• not piecemeal

ROLE OF CASE FORMULATIONS

Bridge between theory and practice

a flexible tool for guidance

an explanatory framework to share with the patient

How types of formulation can be related to situations (Hodges' model is situated) - inference chain.

Comprehensive formulation - reflects the template that supports data gathering

inc. core beliefs - conditional beliefs

Questions for Preliminary Formulation

Main Ingredients - includes social support/relationships/employment/finances

(so this touches on determinants)

Choosing Treatment Targets

group exercise and summary

Call - Special issue: Learning from Multiple Data Sources for Decision Making in Health Care

The increasing availability of digital data, along with recent developments in Artificial Intelligence, especially in the Machine Learning and Deep Learning fields, led the scientific community to debate whether data alone is sufficient for decision making and scientific exploration. We focus the attention on the healthcare domain, where peculiar issues affect data: indeed, data are usually collected under heterogeneous conditions (i.e., different populations, regimes, and sampling methods), suffer missingness – very often not at random – and their use is strongly constrained by privacy issues. In such a complex setting, this special issue challenges computer scientists to contribute to the above debate by designing and developing innovative methodological approaches, for solving complex decision-making problems in health care, leveraging on observational data.

Topics of interest include, but are not limited to, the following with an emphasis on novel generalizable methods applied to the healthcare domain:

• Causal discovery from multiple data sets.
• Federated causal discovery.
• Causal discovery from heterogeneous data sets.
• Transportability of causal models and inference.
• Neuro-symbolic approaches to learn from heterogeneous data sources.
• Continual learning on streams from multiple data sources.
• Computational intelligent strategies to support causal inference.
• Edge computing for decision making in healthcare.
• Integrative AI methodologies.
• Distributed inference methods.
• Continual Learning.
• Knowledge Discovery and Integration.
• Combination of deductive approaches with ML models.
• Combination of ontologies and/or knowledge-bases with ML to support decision making.

Peer Review Process:

All submitted papers will undergo a rigorous peer-review process featuring at least two reviewers. All submissions should follow the guidelines for authors available at the Journal of Biomedical Informatics website (http://www.elsevier.com/locate/yjbin). JBI’s editorial policy outlined on that page will be strictly enforced by special issue reviewers.

Note that JBI emphasizes the publication of papers that introduce innovative and generalizable methods of interest to the informatics community. Specific applications can be described to motivate the methodology being introduced, but papers that focus solely on a specific application are not suitable. A few examples of papers focused on methods previously published in JBI include: Kyrimi, et al. [1], Huang, et al. [2], Kocbek et al. [3], Houston et al. [4], García Del Valle et al. [5], Graudenzi et al. [6] and Sims et al. [7].

In particular, the authors of [1] showed the relevance of causal models and expert knowledge to develop credible models, i.e., capable of achieving good predictive performances when transported from the study cohort to the target population. Furthermore, [2] tackles the relevant issue of partially overlapping variables when data are collected from multiple data sources. This problem is extremely relevant both in theoretical and practical terms for decision making in the healthcare sector.

The contribution provided in [3] stressed the importance of working in a multi-source context by demonstrating how the linking of different repositories can improve the overall understanding of patients' conditions. Similarly, in [4] the authors extended this concept by introducing a methodology to evaluate to audit the data quality of the sources exploited by healthcare information systems. Then, in [5] the multi-source concept is transferred within the multi-modal environment and the authors surveyed the importance of considering different modalities to obtain a better disease understanding.

The works in [6] and [7] focuses on the importance of data. In [6] a data integration framework is defined for characterizing the metabolic deregulations that distinguish cancer phenotypes, by projecting RNA-seq data onto metabolic networks without the need for metabolic measurements; in [7] a biomedical informatics method is introduced that uses multiple public health data sources to perform surveillance of methadone-related adverse drug events. Interestingly, even if patient data are not linked between different data sources, results show that the integration of multiple public data sources can capture more cases and provide more clinical details than individual data sources alone.

Key requirements for JBI ML papers in addition to presenting novel methods (not simply application of existing methods to a new healthcare domain) are as follows: 1) projects must have clinicians involved in research question/problem formulation, defining input data, and assessing the results. 2) An explanation (with clinicians) of how the proposed method would fit into the clinical workflow is expected. It must be translational to practice. 3) Data sets should preferably be collected from hospitals after the research question was formulated, thus avoiding the use of available data (MIMIC) to define a very wide research problem that could potentially be answered with available open datasets (as an example: detecting if someone has COVID from Chest X-Rays would not be acceptable, as the gold standard test is the laboratory test). 4) As for explainability, SHAP values and related diagrams would not be enough: the paper should clearly describe and explain how clinicians use the visualization to make decisions. For further details please refer to https://www.sciencedirect.com/journal/journal-of-biomedical-informatics/publish/guide-for-authors.

Further details available -

Submission process, Questions, and References 

My source: 

https://aixia.it/en/gruppi/hc/

Whether, wherever, whatever you shave - you need Occam's razor

Can Hodges' model be honed by students from day #1 - 'Intro lecture 101',
 across all curricula to function as a form of Occam's razor -
a reflective and critical thinking tool
to last a lifetime's learning (and unlearning)?
 

INDIVIDUAL

|

     INTERPERSONAL    :     SCIENCES               

HUMANISTIC --------------------------------------  MECHANISTIC      

SOCIOLOGY  :   POLITICAL 

|

GROUP

Occam's razor: "entities should not be multiplied beyond necessity". "It urges us to choose the simplest explanations or models for any phenomenon we observe." William of Ockham, born around 1285.	"It has been a tool for scientific progress, not to mention a guiding principle for our thoughts, right up to the present day."
Hodges' model: a tool for individual learners and communities of practice.	"He was, I believe, the first person to so clearly separate science from its religious tethers, a move crucial to science's subsequent secular development."

McFadden, J. (2021) Razor sharp, New Scientist, 18-25 December. 252:3365/66. pp.70-71.

ERCIM News No. 134 Special theme: "Explainable AI (XAI)"

Dear ERCIM News reader,

ERCIM NEWS 134

ERCIM News No. 134 has just been published. This issue's special theme dives into Explainable AI (XAI) – uncovering its application across healthcare, industry, ethics, climate change, and generative language models. Discover the significance of transparency and interpretability in complex ML models, offering insights into decision-making and building trust.

This special theme was coordinated by our guest editors by Manjunatha Veerappa (Fraunhofer IOSB) and Salvo Rinzivillo (CNR-ISTI).

Thank you for your interest in ERCIM News! Help us spread the word by forwarding this message to those who might find it interesting. We also appreciate your support on Twitter @ercim_news and other social media platforms. Let's keep the conversation going and share the latest updates together!




Includes:

Explainable AI in Health Care

16 Explaining Ensemble Models for Lung Ultrasound Classification

by Antonio Bruno, Giacomo Ignesti and Massimo Martinelli (CNR-ISTI)

18 A Governance and Assessment Model for Ethical Artificial Intelligence in Healthcare

by Luigi Briguglio, Francesca Morpurgo and Carmela Occhipinti (CyberEthics Lab.)

20 Current Challenges and Future Research Directions in Multimodal Explainable Artificial Intelligence

by Nikolaos Rodis, Christos Sardianos and Georgios Th. Papadopoulos (Harokopio University of Athens)

22 Predictive Model for Functional Outcome after Orthopaedic Surgery Using Machine Learning Methods

by Alexandre Lädermann (Hôpital de La Tour, Meyrin, Switzerland), Philippe Collin (American Hospital of Paris, France) and Patrick J. Denard (Oregon Shoulder Institute, Medford, Oregon, USA)

23 Unleashing the Power of Artificial Intelligence for Personalised Drug Design

by Michaela Areti Zervou, Effrosyni Doutsi, Panagiotis Tsakalides (University of Crete and ICS-FORTH)

Next issue:
No. 135,  October 2023
Special Theme: "Climate-Resilient Society".

Submissions are welcome! See call for contributions.

My source:

Peter Kunz                      	
ERCIM Office
2004, Route des Lucioles
BP93
F-06902 Sophia Antipolis Cedex

https://www.ercim.eu
https://ercim-news.ercim.eu 
--------------------------------
@ercim_news
http://twitter.com/ercim_news

join the ERCIM Linkedin Group
https://www.linkedin.com/groups/81390/

Medical sociology ... "food for thought" c/o POHG

I replied to the message copied below by Alex Scott-Samuel on the Politics of Health Group Mail List. Following up with respondents, I have copied Alex's reply and others:

----- Forwarded message -----

From: Alex Scott-Samuel <alexscottsamuel AT gmail.com>

To: "pohg AT jiscmail.ac.uk" <pohg AT jiscmail.ac.uk>

Sent: Saturday, 26 November 2022 at 13:05:25 GMT

Subject: [POHG] Illich

Just came across this from 19 years ago: still offers food for thought

 

[The graphic file downloaded should be legible. PJ]
 

*************************************

Politics of Health Group Mail List Messages

*************************************

Visit the PoHG website for lots of interesting links and publications: http://www.pohg.org.uk/

PoHG on Facebook: https://www.facebook.com/282761111845400

Follow us on Twitter: @pohguk

You can subscribe to / unsubscribe from the PoHG mail list here: http://www.jiscmail.ac.uk/POHG

====================

On 26 Nov 2022, at 17:46, peter jones <h2cmng AT yahoo.co.uk> wrote:

Thanks Alex,

This is very useful - short but very sweet and as you say food for thought - especially in our (ongoing) consumptogenic age.

You've prompted a draft blog-post I will add an acknowledgement and link to POHG.

I've no evidence, that is reading, so what follows are thoughts ... musings ... but I keep wondering: what has happened to 'medical sociology'?

Is medical (health) sociology - history as a discipline?

Is there ongoing development - has the discipline morphed into others?

Is there a case to stress not only public health, but public MENTAL health? As I often do. Am I over-reacting?

In information technology there is talk of functionality being placed in wrappers. Has sociology been subsumed - it's there - but underneath - policy rhetoric (integrated, person-centred, holistic care)?

Who are the leading current figures - and recent equivalents of -

"Aaron Antonovsky (19 December 1923 – 7 July 1994) was an Israeli American sociologist and academic whose work concerned the relationship between stress, health and well-being (salutogenesis)."

Canguilhem

Virchow ...?

https://en.wikipedia.org/wiki/Medical_sociology

Should I take heart by the arrival of the SDGs, and the recognition of not only the social determinants of health, but political and commercial too and others..?

I keep writing regarding the potential and utility of Hodges' model:

https://hodges-model.blogspot.com/search?q=sociology

Thanks again,

Peter
====

----- Forwarded message -----

From: Alex Scott-Samuel <alexscottsamuel AT gmail.com>

Cc: "pohg AT jiscmail.ac.uk" <pohg AT jiscmail.ac.uk>

Sent: Saturday, 26 November 2022 at 18:41:10 GMT

Subject: Re: [POHG] Illich - wither et al. ?

Interesting questions Peter. I sense that the answers are out there but not necessarily concentrated in this list. Although I retired from academic public health almost 7 years ago, I have no reason to think that what is now called the sociology of health and illness is not as strong as ever. The kind of places I would look are on the one hand journals such as Sociology of Health and Illness, Social Science & Medicine and Critical Public Health and on the other, popular outlets such as Laurie Taylor's Radio 4 programme Thinking Allowed. 

As far as I know the Medical Sociology Group of the British Sociological Association still exists and holds regular conferences. There has for many years been a Journal of Public Mental Health though it's a while since I've looked at it

Antonovsky's ideas were popular in the health promotion field as well as in academic social science. I remember that a number of people in the WHO Healthy Cities movement were interested in salutogenesis. I've not thought about it for many years but I was on a research group with Antonovsky in the mid 80s when he was developing his Sense of Coherence construct. I  I have to say that despite the attractiveness of problematising health rather than sickness, I never thought the sense of coherence was adequately or well theorised. I do recall seeing quite a few papers from people who rushed out to measure the coherence of people in various situations using the tool which Antonovsky produced. I don't know whether this kind of work continues nor whether it developed

All the best, Alex

=============

----- Forwarded message -----

From: Alderson, Priscilla <p.alderson AT ucl.ac.uk>

Sent: Saturday, 26 November 2022 at 18:55:08 GMT

Subject: Re: [POHG] Illich - wither et al. ?

Dear Peter,

My book Critical Realism for Health and Illness Research: A Practical Introduction (Policy Press 2021) reviews the main traditions in medical sociology and critically updates sociology research that is relevant to the COVID-19 pandemic and beyond. The medical sociologists are the largest subgroup among all UK sociologists.

best wishes

Priscilla

Priscilla Alderson PhD,  Professor Emerita,  

Social Research Institute, University College London,
18 Woburn Square, London WC1H ONR p.alderson AT ucl.ac.uk     

http://iris.ucl.ac.uk/iris/browse/profile?upi=DPALD60  

   

Alderson P. 2021 Critical Realism for Health and Illness Research. Policy Press. 

Winner of the IACR Cheryl Frank award 2022.

Children’s consent to heart surgery research website:  

https://www.ucl.ac.uk/ioe/departments-and-centres/centres/social-science-research-unit/consent-and-shared-decision-making-healthcare/heart-surgery

Alderson, P. and Morgan, J. 2022 Realist by inclination, childhood studies, dialectic and bodily concerns: an interview. Journal of Critical Realism, 10.1080/14767430.2022.2068261
Alderson P, Morrow V. 2020 The Ethics of Research with Children and Young People: A Practical Handbook. SAGE.

=============

 

----- Forwarded message -----

From: Eileen O'Keefe <e.okeefe57 AT gmail.com>

To: Alex Scott-samuel <alexscottsamuel AT gmail.com>;

Cc: Professor Lesley Doyal <l.doyal AT bristol.ac.uk>

Sent: Sunday, 27 November 2022 at 19:52:16 GMT

Subject: Lesley Doyal

Dear Peter and Alex

 

Lesley Doyal set the agenda simultaneously with Illich with her Political Economy of Health. She continues to lead the pack re socially produced global inequities in health, eg her Living with HIV and Dying with AID: diversity, inequality and human rights in the global pandemic. Routledge Global Health Series. 2013.

Cheers

Eileen O’Keefe

===========

<->

By way of background:

I've always been impressed (in awe of) and reassured by 'medical sociology', the pioneers (as above), as a discipline, and in terms of sociology's explanatory potential.

Another - not so much an 'explanation' but an avenue to explore, has long been the continuum of care (yes, just one initially?). This spans the need for compassion, empathy, rapport, allied with the importance of hands - in nursing, medicine, surgery ... their being steady, vision true with rapid, safe, reliable, effective judgement and decision-making. In short, the need for humanistic and mechanistic synergy. Finding, and taking up Hodges' model perhaps this can account for the idea of holistic bandwidth(?).

It is an exaggeration surely, but it feels like I made two simultaneous connections in first reading psychology and philosophy. These are mind - body, and the way that many in society are 'remote' from science (knowledge), for a variety of reasons. Sociology can help account for those reasons.

Seeing (literally) the potential of visualization (as posted on W2tQ and in papers) in the 1970s, in 1990s research programs were dedicated to facilitate the development and application of visualization in the humanities. Visualization should not just be the preserve of high energy physics, bio-science and proteomics ... (although the attraction to what is 'quantifiable' is understandable). This is the question that drives this effort (I think!).

So the 'humanities' still have a requirement in information systems, informatics and literacy terms, and Hodges' model can, I believe, offer a way forward.

The replies above are much appreciated and I will follow them up.

Award: h2cm #1 Framework ... #2 and #3?

"Elden and Levin (1991) suggest distinguishing between insider and outsider frameworks. A framework is described as a way of understanding. Insiders are the project workers or programme staff who have first-hand experience of the situation. They have their views about programme goals and problem solutions. The outsiders are the external researchers, the social scientists, who bring a battery of research skills and a wealth of theoretical ideas: 'The richness and quality of the research depends on the ability of the insiders to play their different frameworks and expertise against each other to create a new, third explanatory framework." (1991: 132). p.28.

 INDIVIDUAL

|

 INTERPERSONAL    :     SCIENCES               

HUMANISTIC --------------------------------------  MECHANISTIC      

SOCIOLOGY  :   POLITICAL 

|

GROUP

outsider new insider	outsider new insider
insider new outsider	insider new outsider

Nurses, and nursing encompass all three, but (should - must) realise they are also part of the 'system', together with their colleagues in the multidisciplinary team. 

In grounded theory, participatory - ethnological and other qualitative approaches, we need to ensure the 'ground' to inhabit is sufficiently accessible. Hodges' model can assist in scoping a project; what is the perspective, standpoint, or positioning? While the health, or social care staff are the insider's and conceptually at the center of the model, the aim is to place the patient, carer at the center, with the situation we collectively encounter. The model's subjective - objective duality can also act as a regulator to assure overall balance.

Elden, M., & Levin, M. (1991). Cogenerative Learning. Bringing Participation Interaction Research. In W. F. Whyte (Ed.), Participatory Action Research (pp. 127-142). Newbury Park, CA: Sage Publications.

Clarke, A. (1999). Evaluation research. SAGE Publications Ltd,
https://dx.doi.org/10.4135/9781849209113 

[Clarke, again: p.174]

"Carol Weiss (1988a), one of the foremost writers on the impact research findings on policy, describes four ways in which evaluation information is used in the decision-making process. First, the information provided by evaluators can serve as a warning that that something is going wrong. For example, if early research findings suggest that some groups are not receiving the designated services, or intermediate outcome measures are not being achieved, then corrective action can be taken before the situation worsens. Second, evaluation findings can provide guidance for improving a programme. ... A third contribution evaluation can make is by way of offering a new way of looking at a familiar problem; Weiss refers to this as 'reconceptualization'. Finally, evaluation can be used to mobilize support for a project or programme." p.174.

Weiss, C.H. (1988a) 'Evaluation for decisions: Is anybody there? Does anybody care?', Evaluation Practice, 9 (1):5-19.

n.b. When on the PhD programme [MRes], I looked at evaluation and design-based research as potential research methods.