논문KCI 등재
Clinical Applicability of Machine Learning in Family Medicine
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참고문헌 (8)
- Kang SJ, "Application of machine learning algorithms to predict osteoporotic fractures in women", Korean J Fam Med, 45, pp.144~148 (2024)
- Smets J, "Machine learning solutions for osteoporosis : a review", J Bone Miner Res, 36, pp.833~851 (2021)
- Kong SH, "A novel fracture prediction model using machine learning in a communitybased cohort", JBMR Plus, 4, pp.e10337~ (2020)
- Atkinson EJ, "Assessing fracture risk using gradient boosting machine(GBM)models", J Bone Miner Res, 27, pp.1397~1404 (2012)
- Iliou T, "Osteoporosis detection using machine learning techniques and feature selection", Int J Artif Intell Tools, 23, pp.1450014~ (2014)
- "Machine learning to predict osteoporotic fracture risk from genotypes" (2018)[URL]
- Dhawan A, "Big data : progress or a big headache?", Arthroscopy, 34, pp.649~651 (2018)
- Hohmann E, "Editorial Commentary : big data and machine learning in medicine", Arthroscopy, 38, pp.848~849 (2022)
관련 논문AI추천
A New Role of Case Reports in Family Medicine and Primary CareKi Dong Ko대한가정의학회 · Korean Journal of Family Medicine2021 · 제42권 제2호Large Language Models in Medicine최진욱대한의료정보학회 · Healthcare Informatics Research2025 · 제31권 제2호Accountability in AI medicine: A critical appraisal of ChatGPT in patient self-management and screeningJiawen Wang, Tian Xia대한간학회 · Clinical and Molecular Hepatology2025 · 제31권 제1호Implementation of Precision Medicine in Primary Care: A Struggle to Improve Disease PreventionErlina Wijayanti, Zwasta Pribadi Mahardhika대한가정의학회 · Korean Journal of Family Medicine2024 · 제45권 제6호Comparative Effectiveness Research in Primary Practice김수영대한가정의학회 · Korean Journal of Family Medicine2012 · 제33권 제6호Large Language Models in Medicine: Clinical Applications, Technical Challenges, and Ethical Considerations정규환대한의료정보학회 · Healthcare Informatics Research2025 · 제31권 제2호
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