A Recurrent Neural Network Model for Predicting Activated Partial Thromboplastin Time After Treatment With Heparin: Retrospective Study

A Recurrent Neural Network Model for Predicting Activated Partial Thromboplastin Time After Treatment With Heparin: Retrospective Study

BackgroundAnticoagulation therapy with heparin is a frequent treatment in intensive care units and is monitored by activated partial thromboplastin clotting time (aPTT). It has been demonstrated that reaching an established anticoagulation target within 24 hours is associated...

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Bibliographic Details
Main Authors: Sebastian Daniel Boie, Lilian Jo Engelhardt, Nicolas Coenen, Niklas Giesa, Kerstin Rubarth, Mario Menk, Felix Balzer
Format: Article
Language:English
Published: JMIR Publications 2022-10-01
Series:JMIR Medical Informatics
Online Access:https://medinform.jmir.org/2022/10/e39187

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https://medinform.jmir.org/2022/10/e39187

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