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

Sebastian Daniel Boie   1 , PhD ;   Lilian Jo Engelhardt   1, 2 , MD ;   Nicolas Coenen   2 , MD ;   Niklas Giesa   1 , MSc ;   Kerstin Rubarth   1, 3 , MSc ;   Mario Menk   1, 2 , MD ;   Felix Balzer   1 , PhD, MD

1 Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Informatics, Berlin, Germany

2 Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Anesthesiology and Intensive Care Medicine, Berlin, Germany

3 Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Biometry and Clinical Epidemiology, Berlin, Germany

Corresponding Author:

  • Sebastian Daniel Boie, PhD
  • Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin
  • Institute of Medical Informatics
  • Charitéplatz 1
  • Berlin, 10117
  • Germany
  • Phone: 49 30 450580877
  • Email: Sebastian-Daniel.Boie@charite.de