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Development of Prediction Models Using Machine Learning Algorithms for Girls with Suspected Central Precocious Puberty: Retrospective Study.

Liyan PanGuangjian LiuXiaojian MaoHuixian LiJiexin ZhangHuiying LiangXiuzhen Li
Published in: JMIR medical informatics (2019)
The prediction models we developed can help diagnose CPP and may be used as a prescreening tool before the GnRHa-stimulation test.
Keyphrases
  • machine learning
  • pulmonary embolism
  • deep learning