<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

Published Online: Oct 16, 2018

Page range: 429 - 469

Received: Sep 05, 2017

Accepted: Nov 02, 2017

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

Keywords
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

Published Online: Oct 16, 2018

Page range: 429 - 469

Received: Sep 05, 2017

Accepted: Nov 02, 2017

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

KeywordsSystems 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.

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