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#GenderAffirmingHormoneTherapy and Health Information on TikTok: Thematic Content Analysis
JMIR Infodemiology 2025;5:e66845
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Applications of Self-Driving Vehicles in an Aging Population
JMIR Form Res 2025;9:e66180
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Making Medical Education Courses Visible: Theory-Based Development of a National Database
JMIR Med Educ 2025;11:e62838
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We evaluated several recommender methods for accurate prediction, including K-nearest neighbors, probabilistic matrix factorization, collective matrix factorization, and the Bayesian probabilistic matrix factorization (BPMF) [33]. In evaluating rating prediction methods, we used a range of standard performance metrics including root mean squared error, Kendall tau-b, and normalized discounted cumulative gain. In all these tests, BPMF was identified as the best single model.
JMIR Res Protoc 2025;14:e63693
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