Improving healthcare decisions through data-driven methods and models : analysis of policies for personalized medicine
Abstract/Contents
- Abstract
- This dissertation develops methods and models for personalized medicine. First, we develop a new modeling framework for personalizing medical treatment decisions and apply it to personalize selection of antipsychotic drugs for patients with schizophrenia. We project that use of this framework can substantially and cost effectively improve patient health outcomes. Second, we demonstrate potential adverse effects of partial personalization, which we define as personalization based on a subset of patient-specific risks and preferences. We develop a new method for partial personalization and show that it avoids these potential adverse effects. Third, we develop a method for simplifying complex models for personalization and apply it to simplify the model that we developed for personalized selection of antipsychotic drugs. This method allows for determination of the optimal degree of personalization, and improves computational performance and interpretability of the original model. Finally, we illustrate how personalized medicine approaches can be used to evaluate policies for population-level health problems. Using a personalized medicine approach, we project the health impacts of climate-change-induced nutritional deficiencies and optimal mitigation strategies. We conclude with a discussion of directions for further research
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2020; ©2020 |
| Publication date | 2020; 2020 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Weyant, Christopher (Christopher Favor) |
|---|---|
| Degree supervisor | Brandeau, Margaret L |
| Thesis advisor | Brandeau, Margaret L |
| Thesis advisor | Bendavid, Eran |
| Thesis advisor | Owens, Douglas K |
| Degree committee member | Bendavid, Eran |
| Degree committee member | Owens, Douglas K |
| Associated with | Stanford University, Department of Management Science and Engineering. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Christopher Weyant |
|---|---|
| Note | Submitted to the Department of Management Science and Engineering |
| Thesis | Thesis Ph.D. Stanford University 2020 |
| Location | electronic resource |
Access conditions
- Copyright
- © 2020 by Christopher Weyant
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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