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

Machine Learning (1465) Artificial Intelligence (1371) Clinical Informatics (1022)
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
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Li Q, Tang B, Wu Y, Yao B, Zhang W, Zheng Y, Zhou Y, van den Anker J, Hao G, Zhao W. Machine Learning: A New Approach for Dose Individualization. Clinical Pharmacology & Therapeutics 2024;115(4):727 View
  2. Daniel Boie S, Meyer-Eschenbach F, Schreiber F, Giesa N, Barrenetxea J, Guinemer C, Haufe S, Krämer M, Brunecker P, Prasser F, Balzer F. A scalable approach for critical care data extraction and analysis in an academic medical center. International Journal of Medical Informatics 2024;192:105611 View