首页|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: ...)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.”
LexingtonKentuckyUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningAmerican Board of Family Medicine
NETL
NSTL
