Williamson, Jon (2017) Models in Systems Medicine. Disputatio, 9 (49). pp. 429-469. ISSN 0873-626X. (KAR id:61396)
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Abstract
Systems medicine is a promising new paradigm for discovering associations, causal relationships and mechanisms in medicine. But it faces some tough challenges that arise from the use of big data: in particular, the problem of how to integrate evidence and the problem of how to structure the development of models. I argue that objective Bayesian models offer one way of tackling the evidence integration problem. I also offer a general methodology for structuring the development of models, within which the objective Bayesian approach fits rather naturally.
Item Type: | Article |
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Projects: | [UNSPECIFIED] Evaluating evidence in medicine |
Subjects: |
B Philosophy. Psychology. Religion > B Philosophy (General) R Medicine > RZ Other systems of medicine |
Divisions: | Divisions > Division of Arts and Humanities > School of European Culture and Languages |
Depositing User: | Jon Williamson |
Date Deposited: | 19 Apr 2017 16:35 UTC |
Last Modified: | 16 Feb 2021 13:44 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/61396 (The current URI for this page, for reference purposes) |
Williamson, Jon: | ![]() |
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