Personalize warfarin trearment by optimizing protocol assignment

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

doi:10.1109/ICHI.2018.00067

Personalize warfarin trearment by optimizing protocol assignment

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

Academics (Nursing)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

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)
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	https://doi.org/10.1109/ICHI.2018.00067
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

Other

Other	6th IEEE International Conference on Healthcare Informatics, ICHI 2018
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

Publisher link

10.1109/ICHI.2018.00067

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Chi, C. L., Shen, X., Ravvaz, K., Weissert, J., & Tonellato, P. (2018). Personalize warfarin trearment by optimizing protocol assignment. In Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018 (pp. 388-389). Article 8419400 (Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICHI.2018.00067

Personalize warfarin trearment by optimizing protocol assignment. / Chi, Chih Lin; Shen, Xinpeng; Ravvaz, Kourosh et al.
Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 388-389 8419400 (Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chi, CL, Shen, X, Ravvaz, K, Weissert, J & Tonellato, P 2018, Personalize warfarin trearment by optimizing protocol assignment. in Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018., 8419400, Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018, Institute of Electrical and Electronics Engineers Inc., pp. 388-389, 6th IEEE International Conference on Healthcare Informatics, ICHI 2018, New York, United States, 6/4/18. https://doi.org/10.1109/ICHI.2018.00067

Chi CL, Shen X, Ravvaz K, Weissert J, Tonellato P. Personalize warfarin trearment by optimizing protocol assignment. In Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 388-389. 8419400. (Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018). doi: 10.1109/ICHI.2018.00067

Chi, Chih Lin ; Shen, Xinpeng ; Ravvaz, Kourosh et al. / Personalize warfarin trearment by optimizing protocol assignment. Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 388-389 (Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018).

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ER -

Personalize warfarin trearment by optimizing protocol assignment

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