Abstract
We describe a 3-step approach pipeline to personalize warfarin treatment by predicting which one of a collection of protocols optimize outcomes based on an individual's clinical and genetic characteristics. We demonstrate an example using a collection of 5 existing treatment protocols. In our clinical trial simulations, such a personalized protocol show 15% - 51% significantly better outcome (P<0.00001) than all 5 one-size-fits-all protocols.
Original language | English (US) |
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Title of host publication | Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 388-389 |
Number of pages | 2 |
ISBN (Electronic) | 9781538653777 |
DOIs | |
State | Published - Jul 24 2018 |
Event | 6th IEEE International Conference on Healthcare Informatics, ICHI 2018 - New York, United States Duration: Jun 4 2018 → Jun 7 2018 |
Publication series
Name | Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018 |
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Other
Other | 6th IEEE International Conference on Healthcare Informatics, ICHI 2018 |
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Country/Territory | United States |
City | New York |
Period | 6/4/18 → 6/7/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- Pharmacokinetic/Pharmacodynamics
- Precision Medicine
- Simulation
- Treatment Optimization