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

Published in: JMIR medical informatics (2022)

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.

Keyphrases

neural network
venous thromboembolism
growth factor