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

Sebastian Daniel Boie,Lilian Jo Engelhardt,Nicolas Coenen,Niklas Giesa,Kerstin Rubarth,Mario Menk,Felix Balzer

JMIR Medical Informatics（2022）

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摘要

A recurrent neural network that uses time series of features instead of only static and aggregated features showed the highest performance in predicting aPTT after heparin treatment.

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关键词

ICU,activated partial thromboplastin time (aPTT),critical care,deep learning,health care,heparin,machine learning,recurrent neural network

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