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

New Methods (909) Clinical Information and Decision Making (1328) Natural Language Processing (644) Tools, Programs and Algorithms (243) Falls Prevention in the Elderly (64)

Published on in Vol 22, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19516, first published .
Automated Fall Detection Algorithm With Global Trigger Tool, Incident Reports, Manual Chart Review, and Patient-Reported Falls: Algorithm Development and Validation With a Retrospective Diagnostic Accuracy Study

Automated Fall Detection Algorithm With Global Trigger Tool, Incident Reports, Manual Chart Review, and Patient-Reported Falls: Algorithm Development and Validation With a Retrospective Diagnostic Accuracy Study

Automated Fall Detection Algorithm With Global Trigger Tool, Incident Reports, Manual Chart Review, and Patient-Reported Falls: Algorithm Development and Validation With a Retrospective Diagnostic Accuracy Study

Authors of this article:

Elisa Dolci1 Author Orcid Image ;   Barbara Schärer2 Author Orcid Image ;   Nicole Grossmann3, 4 Author Orcid Image ;   Sarah Naima Musy2, 4 Author Orcid Image ;   Franziska Zúñiga4 Author Orcid Image ;   Stefanie Bachnick4 Author Orcid Image ;   Michael Simon2, 4 Author Orcid Image
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