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Performance and usability testing of an automated tool for detection of peripheral artery disease using electronic health records.
Sci Rep. 2022 Aug 3;12(1):13364. doi: 10.1038/s41598-022-17180-5.
Sci Rep. 2022.
PMID: 35922657
Free PMC article.
Development of a polygenic risk score to improve detection of peripheral artery disease.
Wang F, Ghanzouri I, Leeper NJ, Tsao PS, Ross EG.
Wang F, et al. Among authors: ghanzouri i.
Vasc Med. 2022 Jun;27(3):219-227. doi: 10.1177/1358863X211067564. Epub 2022 Mar 14.
Vasc Med. 2022.
PMID: 35287516
Free PMC article.
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Use of Multi-Modal Data and Machine Learning to Improve Cardiovascular Disease Care.
Amal S, Safarnejad L, Omiye JA, Ghanzouri I, Cabot JH, Ross EG.
Amal S, et al. Among authors: ghanzouri i.
Front Cardiovasc Med. 2022 Apr 27;9:840262. doi: 10.3389/fcvm.2022.840262. eCollection 2022.
Front Cardiovasc Med. 2022.
PMID: 35571171
Free PMC article.
Review.
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Clinical use of polygenic risk scores for detection of peripheral artery disease and cardiovascular events.
Omiye JA, Ghanzouri I, Lopez I, Wang F, Cabot J, Amal S, Ye J, Lopez NG, Adebayo-Tijani F, Ross EG.
Omiye JA, et al. Among authors: ghanzouri i.
PLoS One. 2024 May 17;19(5):e0303610. doi: 10.1371/journal.pone.0303610. eCollection 2024.
PLoS One. 2024.
PMID: 38758931
Free PMC article.
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Physician- and Patient-Elicited Barriers and Facilitators to Implementation of a Machine Learning-Based Screening Tool for Peripheral Arterial Disease: Preimplementation Study With Physician and Patient Stakeholders.
Ho V, Brown Johnson C, Ghanzouri I, Amal S, Asch S, Ross E.
Ho V, et al. Among authors: ghanzouri i.
JMIR Cardio. 2023 Nov 6;7:e44732. doi: 10.2196/44732.
JMIR Cardio. 2023.
PMID: 37930755
Free PMC article.
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