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Machine Learning-Based Prediction of Elevated PTH Levels Among the US General Population.
Kato, Hajime; Hoshino, Yoshitomo; Hidaka, Naoko; Ito, Nobuaki; Makita, Noriko; Nangaku, Masaomi; Inoue, Kosuke.
Affiliation
  • Kato H; Division of Nephrology and Endocrinology, The University of Tokyo Hospital, Tokyo 113-8655, Japan.
  • Hoshino Y; Osteoporosis Center, The University of Tokyo Hospital, Tokyo 113-8655, Japan.
  • Hidaka N; Division of Nephrology and Endocrinology, The University of Tokyo Hospital, Tokyo 113-8655, Japan.
  • Ito N; Osteoporosis Center, The University of Tokyo Hospital, Tokyo 113-8655, Japan.
  • Makita N; Division of Nephrology and Endocrinology, The University of Tokyo Hospital, Tokyo 113-8655, Japan.
  • Nangaku M; Osteoporosis Center, The University of Tokyo Hospital, Tokyo 113-8655, Japan.
  • Inoue K; Division of Nephrology and Endocrinology, The University of Tokyo Hospital, Tokyo 113-8655, Japan.
J Clin Endocrinol Metab ; 107(12): 3222-3230, 2022 11 25.
Article in En | MEDLINE | ID: mdl-36125184
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Machine Learning Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Adult / Humans Language: En Journal: J Clin Endocrinol Metab Year: 2022 Document type: Article Affiliation country: Japan Country of publication: United States
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Machine Learning Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Adult / Humans Language: En Journal: J Clin Endocrinol Metab Year: 2022 Document type: Article Affiliation country: Japan Country of publication: United States