<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

Models in Systems Medicine

Disputatio

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Models in Systems Medicine"}

Systems medicine is a promising new paradigm for discovering associations, causal relationships and mechanisms in medicine. But it faces some tough challenges...

Models in Systems Medicine

Online veröffentlicht: 16. Okt. 2018

Seitenbereich: 429 - 469

Eingereicht: 05. Sept. 2017

Akzeptiert: 02. Nov. 2017

DOI: https://doi.org/10.1515/disp-2017-0014

Schlüsselwörter
Systems medicine, personalised medicine, Bayesian models, Bayesian epistemology, mechanisms

© 2017 Jon Williamson, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Models in Systems Medicine

Online veröffentlicht: 16. Okt. 2018

Seitenbereich: 429 - 469

Eingereicht: 05. Sept. 2017

Akzeptiert: 02. Nov. 2017

DOI: https://doi.org/10.1515/disp-2017-0014

SchlüsselwörterSystems medicine, personalised medicine, Bayesian models, Bayesian epistemology, mechanisms

© 2017 Jon Williamson, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Systems medicine, personalised medicine, Bayesian models, Bayesian epistemology, mechanisms