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

Viewpoints and Perspectives (485) Artificial Intelligence (1214) Machine Learning (1400) Clinical Informatics (918) Secondary Use of Clinical Data for Research and Surveillance (325) Health Care Quality and Health Services Research (252) Health Services Research (413)

Published on in Vol 23, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29812, first published .
Analyzing Patient Trajectories With Artificial Intelligence

Analyzing Patient Trajectories With Artificial Intelligence

Analyzing Patient Trajectories With Artificial Intelligence

Authors of this article:

Ahmed Allam1, 2 Author Orcid Image ;   Stefan Feuerriegel3, 4, 5 Author Orcid Image ;   Michael Rebhan3 Author Orcid Image ;   Michael Krauthammer1, 2, 6 Author Orcid Image
Article Authors Cited by (18) Tweetations (27) Metrics

Ahmed Allam   1, 2 , PhD ;   Stefan Feuerriegel   3, 4, 5 , PhD ;   Michael Rebhan   3 , PhD ;   Michael Krauthammer   1, 2, 6 , MD, PhD

1 Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland

2 Biomedical Informatics, University Hospital of Zurich, Zurich, Switzerland

3 Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland

4 ETH Artificial Intelligence Center, ETH Zurich, Zurich, Switzerland

5 Ludwig Maximilian University of Munich, Munich, Germany

6 Yale Center for Medical Informatics, Yale University School of Medicine, New Haven, CT, United States

Corresponding Author:

  • Stefan Feuerriegel, PhD
  • Ludwig Maximilian University of Munich
  • Geschwister-Scholl-Platz 1
  • Munich, 80539
  • Germany
  • Phone: 49 8921806790
  • Email: feuerriegel@lmu.de