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

Virtual Patients (49) Electronic Health Records (961) Tools, Programs and Algorithms (237)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43988, first published .
Proposal of a Method for Transferring High-Quality Scientific Literature Data to Virtual Patient Cases Using Categorical Data Generated by Bernoulli-Distributed Random Values: Development and Prototypical Implementation

Proposal of a Method for Transferring High-Quality Scientific Literature Data to Virtual Patient Cases Using Categorical Data Generated by Bernoulli-Distributed Random Values: Development and Prototypical Implementation

Proposal of a Method for Transferring High-Quality Scientific Literature Data to Virtual Patient Cases Using Categorical Data Generated by Bernoulli-Distributed Random Values: Development and Prototypical Implementation

Authors of this article:

Christian Schmidt1 Author Orcid Image ;   Dorothea Kesztyüs1 Author Orcid Image ;   Martin Haag2 Author Orcid Image ;   Manfred Wilhelm3 Author Orcid Image ;   Tibor Kesztyüs1 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Christian Schmidt   1 , MCompSc ;   Dorothea Kesztyüs   1 , MPH, Dr biol hum ;   Martin Haag   2 , Prof Dr ;   Manfred Wilhelm   3 , Prof Dr ;   Tibor Kesztyüs   1 , Prof Dr

1 Medical Data Integration Center, Department of Medical Informatics, University Göttingen, Göttingen, Germany

2 GECKO Institute, Heilbronn University of Applied Sciences, Heilbronn, Germany

3 Department of Mathematics, Natural and Economic Sciences, Ulm University of Applied Sciences, Ulm, Germany

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