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

Decision Support for Health Professionals (1185) Clinical Informatics (1022) Clinical Information and Decision Making (1407) Electronic Health Records (1053) Secondary Use of Clinical Data for Research and Surveillance (367) Tools, Programs and Algorithms (266)

Published on in Vol 8, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18542, first published .
Model-Based Algorithms for Detecting Peripheral Artery Disease Using Administrative Data From an Electronic Health Record Data System: Algorithm Development Study

Model-Based Algorithms for Detecting Peripheral Artery Disease Using Administrative Data From an Electronic Health Record Data System: Algorithm Development Study

Model-Based Algorithms for Detecting Peripheral Artery Disease Using Administrative Data From an Electronic Health Record Data System: Algorithm Development Study

Authors of this article:

Elizabeth Hope Weissler1 Author Orcid Image ;   Steven J Lippmann2 Author Orcid Image ;   Michelle M Smerek2 Author Orcid Image ;   Rachael A Ward3 Author Orcid Image ;   Aman Kansal3 Author Orcid Image ;   Adam Brock3 ;   Robert C Sullivan3 Author Orcid Image ;   Chandler Long1 Author Orcid Image ;   Manesh R Patel2, 3, 4 Author Orcid Image ;   Melissa A Greiner2 Author Orcid Image ;   N Chantelle Hardy2 Author Orcid Image ;   Lesley H Curtis2, 4 Author Orcid Image ;   W Schuyler Jones2, 3, 4 Author Orcid Image
Article Authors Cited by (11) Tweetations (6) Metrics

Elizabeth Hope Weissler   1 , MD ;   Steven J Lippmann   2 , PhD ;   Michelle M Smerek   2 , BSc ;   Rachael A Ward   3 , MD, MPH ;   Aman Kansal   3 , MD ;   Adam Brock   3 , MD ;   Robert C Sullivan   3 , MD ;   Chandler Long   1 , MD ;   Manesh R Patel   2, 3, 4 , MD ;   Melissa A Greiner   2 , MSc ;   N Chantelle Hardy   2 , MPH ;   Lesley H Curtis   2, 4 , PhD ;   W Schuyler Jones   2, 3, 4 , MD

1 Division of Vascular and Endovascular Surgery, Duke University School of Medicine, Durham, NC, United States

2 Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, United States

3 Department of Medicine, Duke University School of Medicine, Durham, NC, United States

4 Duke Clinical Research Institute, Durham, NC, United States

Corresponding Author: