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Dear All,
I have been working on this one for some time.
You can think of the spectrum from pathophysiology to disease to symptomatology to be roughly as follows:
| Root causes |
| Pathophysiology |
| Organ-specific disease |
| Signs |
| Symptoms |
(As if layers on a cake)
We often concentrate, in clinical medicine on a small selection of these, often closer to the bottom. However, a lot of things are both easier to remember and make more sense when clustered into related and overlapping topics, or seen in terms of multi-organ disease.
A small handbook that gives a concise, visual reference would be helpful.
Ideally, it would be nice to have a computational biologist involved in order to define accurate (and often startling) relationships between various conditions– (to take a banal example, smoking is an independent risk factor for developing diabetes).
Yours,
Deutschy, organically developing our rail network!
I can see applications of my AI course here (and I think AI is put to serious work in the field already).
The first 10 “chapters” (lecture groups) have been about interpreting probabilities with incomplete observability (eg, determining the cause of an event that has more than one possible cause) and learning from what observations exist.
Also, your “storylines” box is interesting.