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

Formative Evaluation of Digital Health Interventions (2690) Artificial Intelligence (1603) Clinical Informatics (1107) Clinical Information and Decision Making (1548) Decision Support for Health Professionals (1288) E-Health / Health Services Research and New Models of Care (576) Machine Learning (1627)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43963, first published .
Development and Integration of Machine Learning Algorithm to Identify Peripheral Arterial Disease: Multistakeholder Qualitative Study

Development and Integration of Machine Learning Algorithm to Identify Peripheral Arterial Disease: Multistakeholder Qualitative Study

Development and Integration of Machine Learning Algorithm to Identify Peripheral Arterial Disease: Multistakeholder Qualitative Study

Authors of this article:

Sabrina M Wang1 Author Orcid Image ;   H D Jeffry Hogg2, 3 Author Orcid Image ;   Devdutta Sangvai4 Author Orcid Image ;   Manesh R Patel5 Author Orcid Image ;   E Hope Weissler6 Author Orcid Image ;   Katherine C Kellogg7 Author Orcid Image ;   William Ratliff8 Author Orcid Image ;   Suresh Balu8 Author Orcid Image ;   Mark Sendak8 Author Orcid Image
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JMIR Formative Res: Development and Integration of Machine Learning Algorithm to Identify Peripheral Arterial Disease: Multistakeholder Qualitative Study https://t.co/Szm78nI9b9 https://t.co/6UfGS5nhNp

12:56 PM · Sep 21, 2023

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RT @jmirpub: JMIR Formative Res: Development and Integration of Machine Learning Algorithm to Identify Peripheral Arterial Disease: Multist…

12:56 PM · Sep 21, 2023

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