Personalize warfarin trearment by optimizing protocol assignment

Chih Lin Chi, Xinpeng Shen, Kourosh Ravvaz, John Weissert, Peter Tonellato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publicationProceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages388-389
Number of pages2
ISBN (Electronic)9781538653777
DOIs
StatePublished - Jul 24 2018
Event6th IEEE International Conference on Healthcare Informatics, ICHI 2018 - New York, United States
Duration: Jun 4 2018Jun 7 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018

Other

Other6th IEEE International Conference on Healthcare Informatics, ICHI 2018
Country/TerritoryUnited States
CityNew York
Period6/4/186/7/18

Keywords

  • Pharmacokinetic/Pharmacodynamics
  • Precision Medicine
  • Simulation
  • Treatment Optimization

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