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

Decision Support for Health Professionals (1510) Clinical Informatics (1294) Machine Learning (2032) Clinical Information and Decision Making (1871)

Published on in Vol 10, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29978, first published .
Reduction of Platelet Outdating and Shortage by Forecasting Demand With Statistical Learning and Deep Neural Networks: Modeling Study

Reduction of Platelet Outdating and Shortage by Forecasting Demand With Statistical Learning and Deep Neural Networks: Modeling Study

Reduction of Platelet Outdating and Shortage by Forecasting Demand With Statistical Learning and Deep Neural Networks: Modeling Study

Authors of this article:

Maximilian Schilling1 Author Orcid Image ;   Lennart Rickmann1 Author Orcid Image ;   Gabriele Hutschenreuter2 Author Orcid Image ;   Cord Spreckelsen3 Author Orcid Image
Article Authors Cited by (16) Tweetations (2) Metrics

Maximilian Schilling   1 , BSc ;   Lennart Rickmann   1 , BSc ;   Gabriele Hutschenreuter   2 , MD ;   Cord Spreckelsen   3 , MME, PhD

1 Institute for Medical Informatics, University Hospital Aachen, RWTH Aachen University, Aachen, Germany

2 Institute for Transfusion Medicine, University Hospital Aachen, RWTH Aachen University, Aachen, Germany

3 Institute of Medical Statistics, Computer and Data Sciences, Jena University Hospital, Friedrich Schiller University, Jena, Germany

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