Predicting Therapeutic Response to Unfractionated Heparin Therapy: Machine Learning Approach

Predicting Therapeutic Response to Unfractionated Heparin Therapy: Machine Learning Approach

BackgroundUnfractionated heparin (UFH) is an anticoagulant drug that is considered a high-risk medication because an excessive dose can cause bleeding, whereas an insufficient dose can lead to a recurrent embolic event. Therapeutic response to the initiation of intravenous UF...

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Bibliographic Details
Main Authors: Ahmad Abdel-Hafez, Ian A Scott, Nazanin Falconer, Stephen Canaris, Oscar Bonilla, Sven Marxen, Aaron Van Garderen, Michael Barras
Format: Article
Language:English
Published: JMIR Publications 2022-09-01
Series:Interactive Journal of Medical Research
Online Access:https://www.i-jmr.org/2022/2/e34533

Internet

https://www.i-jmr.org/2022/2/e34533

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