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

Advanced Data Analytics in eHealth (52) Data Science (150) Ontologies, Classifications, and Coding (172) Methods and Instruments in Medical Informatics (59) Quality Improvement (174) Secondary Use of Clinical Data for Research and Surveillance (266)

Published on in Vol 10 , No 3 (2022) :March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35104, first published .
Patient-Level Fall Risk Prediction Using the Observational Medical Outcomes Partnership’s Common Data Model: Pilot Feasibility Study

Patient-Level Fall Risk Prediction Using the Observational Medical Outcomes Partnership’s Common Data Model: Pilot Feasibility Study

Patient-Level Fall Risk Prediction Using the Observational Medical Outcomes Partnership’s Common Data Model: Pilot Feasibility Study

Authors of this article:

Hyesil Jung 1 Author Orcid Image ;   Sooyoung Yoo 1 Author Orcid Image ;   Seok Kim 1 Author Orcid Image ;   Eunjeong Heo 1 Author Orcid Image ;   Borham Kim 1 Author Orcid Image ;   Ho-Young Lee 1 Author Orcid Image ;   Hee Hwang 2 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

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  2. You S, Lee S, Choi B, Park R. Establishment of an International Evidence Sharing Network Through Common Data Model for Cardiovascular Research. Korean Circulation Journal 2022;52(12):853 View
  3. Park J, Lee J, Moon M, Park Y, Rho M. Cancer Research Line (CAREL): Development of Expanded Distributed Research Networks for Prostate Cancer and Lung Cancer. Technology in Cancer Research & Treatment 2023;22:153303382211492 View