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

Virtual Patients (41) Electronic Health Records (782) Tools, Programs and Algorithms (181)

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 Schmidt 1 Author Orcid Image ;   Dorothea Kesztyüs 1 Author Orcid Image ;   Martin Haag 2 Author Orcid Image ;   Manfred Wilhelm 3 Author Orcid Image ;   Tibor Kesztyüs 1 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 , DE

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

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

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