This paper is in the following e-collection/theme issue:

Machine Learning (1627) Artificial Intelligence (1602) Clinical Informatics (1107)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39187, first published .
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

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

Authors of this article:

Sebastian Daniel Boie1 Author Orcid Image ;   Lilian Jo Engelhardt1, 2 Author Orcid Image ;   Nicolas Coenen2 Author Orcid Image ;   Niklas Giesa1 Author Orcid Image ;   Kerstin Rubarth1, 3 Author Orcid Image ;   Mario Menk1, 2 Author Orcid Image ;   Felix Balzer1 Author Orcid Image
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New JMIR MedInform: A Recurrent Neural Network Model for Predicting Activated Partial Thromboplastin Time After Tre… https://t.co/Yew8JbVUBu

2:48 PM · Oct 13, 2022

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RT @jmirpub: New JMIR MedInform: A Recurrent Neural Network Model for Predicting Activated Partial Thromboplastin Time After Treatment With…

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