Study Findings from American Board of Family Medicine Provide New Insights into Machine Learning (Machine Learning To Identify Clusters In Family Medicine Diplo mate Motivations and Their Relationship To Continuing Certification Exam Outcome s: ...)
Study Findings from American Board of Family Medicine Provide New Insights into Machine Learning (Machine Learning To Identify Clusters In Family Medicine Diplo mate Motivations and Their Relationship To Continuing Certification Exam Outcome s: ...)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting out of Lexington, Kentucky, by New sRx editors, research stated, “The potential for machine learning (ML) to enhanc e the efficiency of medical specialty boards has not been explored. We applied u nsupervised ML to identify archetypes among American Board of Family Medicine (A BFM) Diplomates regarding their practice characteristics and motivations for par ticipating in continuing certification, then examined associations between motiv ation patterns and key recertification outcomes.”
Key words
Lexington/Kentucky/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/American Board of Family Medicine
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