American Board of Family Medicine

Machine Learning

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Every Day I Write the Book: Transforming EHR Data from Daily Practice into New Knowledge
Robert L. Phillips and Andrew W. Bazemore

The Journal of the American Board of Family Medicine November 2024, 37 (Supplement2) S138-S143; DOI: https://doi.org/10.3122/jabfm.2024.240008R1
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Machine Learning to Identify Clusters in Family Medicine Diplomate Motivations and Their Relationship to Continuing Certification Exam Outcomes: Findings and Potential Future Implications
David W. Price, Peter Wingrove and Andrew Bazemore

The Journal of the American Board of Family Medicine March 2024, 37 (2) 279-289; DOI: https://doi.org/10.3122/jabfm.2023.230369R1
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What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care
Richard A. Young, Carmel M. Martin, Joachim P. Sturmberg, Sally Hall, Andrew Bazemore, Ioannis A. Kakadiaris and Steven Lin

The Journal of the American Board of Family Medicine March 2024, 37 (2) 332-345; DOI: https://doi.org/10.3122/jabfm.2023.230219R1
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A Clinician's Guide to Artificial Intelligence (AI): Why and How Primary Care Should Lead the Health Care AI Revolution
Steven Lin

The Journal of the American Board of Family Medicine January 2022, 35 (1) 175-184; DOI: https://doi.org/10.3122/jabfm.2022.01.210226
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A Machine Learning Approach to Identification of Unhealthy Drinking
Levi N. Bonnell, Benjamin Littenberg, Safwan R. Wshah and Gail L. Rose

The Journal of the American Board of Family Medicine May 2020, 33 (3) 397-406; DOI: https://doi.org/10.3122/jabfm.2020.03.190421

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