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Clinical Applicability of Machine Learning in Family Medicine

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참고문헌 (8)

  1. Kang SJ, "Application of machine learning algorithms to predict osteoporotic fractures in women", Korean J Fam Med, 45, pp.144~148 (2024)
  2. Smets J, "Machine learning solutions for osteoporosis : a review", J Bone Miner Res, 36, pp.833~851 (2021)
  3. Kong SH, "A novel fracture prediction model using machine learning in a communitybased cohort", JBMR Plus, 4, pp.e10337~ (2020)
  4. Atkinson EJ, "Assessing fracture risk using gradient boosting machine(GBM)models", J Bone Miner Res, 27, pp.1397~1404 (2012)
  5. Iliou T, "Osteoporosis detection using machine learning techniques and feature selection", Int J Artif Intell Tools, 23, pp.1450014~ (2014)
  6. "Machine learning to predict osteoporotic fracture risk from genotypes" (2018)[URL]
  7. Dhawan A, "Big data : progress or a big headache?", Arthroscopy, 34, pp.649~651 (2018)
  8. Hohmann E, "Editorial Commentary : big data and machine learning in medicine", Arthroscopy, 38, pp.848~849 (2022)

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