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

Tools, Programs and Algorithms (266) Electronic Health Records (1053) Clinical Information and Decision Making (1407)

Published on in Vol 9, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27172, first published .
Anomaly Detection Algorithm for Real-World Data and Evidence in Clinical Research: Implementation, Evaluation, and Validation Study

Anomaly Detection Algorithm for Real-World Data and Evidence in Clinical Research: Implementation, Evaluation, and Validation Study

Anomaly Detection Algorithm for Real-World Data and Evidence in Clinical Research: Implementation, Evaluation, and Validation Study

Authors of this article:

Vendula Churová1, 2 Author Orcid Image ;   Roman Vyškovský1, 2 Author Orcid Image ;   Kateřina Maršálová1 Author Orcid Image ;   David Kudláček2 Author Orcid Image ;   Daniel Schwarz1, 2 Author Orcid Image
Article Authors Cited by (9) Tweetations (3) Metrics

Vendula Churová   1, 2 , MSc ;   Roman Vyškovský   1, 2 , MSc ;   Kateřina Maršálová   1 , MSc ;   David Kudláček   2 , MSc ;   Daniel Schwarz   1, 2 , MSc, PhD

1 Faculty of Medicine, Masaryk University, Brno, Czech Republic

2 Institute of Biostatistics and Analyses, Ltd, Brno, Czech Republic

Corresponding Author: