Models in Systems Medicine

Williamson, Jon (2017) Models in Systems Medicine. Disputatio, . ISSN 0873-626X. (In press) (Full text available)

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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
Projects: [UNSPECIFIED] Evaluating evidence in medicine
Subjects: B Philosophy. Psychology. Religion > B Philosophy (General)
R Medicine > RZ Other systems of medicine
Divisions: Faculties > Humanities > School of European Culture and Languages > Philosophy
Depositing User: Jon Williamson
Date Deposited: 19 Apr 2017 16:35 UTC
Last Modified: 20 Apr 2017 13:03 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/61396 (The current URI for this page, for reference purposes)
Williamson, Jon: https://orcid.org/hhtp://orcid.org/0000-0003-0514-4209
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