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Machine Learning-Based Prediction of Elevated PTH Levels Among the US General Population.

Hajime KatoYoshitomo HoshinoNaoko HidakaNobuaki ItoNoriko MakitaMasaomi NangakuKosuke Inoue
Published in: The Journal of clinical endocrinology and metabolism (2022)
In this nationally representative data in the United States, we developed a prediction model that potentially helps us to make accurate and early detection of elevated PTH in general clinical practice. Future studies are warranted to assess whether this prediction tool for elevated PTH would improve adverse health outcomes.
Keyphrases
  • machine learning
  • clinical practice
  • high resolution
  • artificial intelligence
  • case control
  • drug induced