Identification and optimization of contributing factors for precocious puberty by machine/deep learning methods in chinese girls

HIGHLIGHTS

• who: Bo Pang from the University of Chinese MedicineThe parents and supervisorsd`Angers, France have published the Article: Identification and Optimization of Contributing Factors for Precocious Puberty by Machine/Deep Learning Methods in Chinese Girls, in the Journal: (JOURNAL)
• what: Due to the low ratio of precocious puberty, the purpose of this classification choice is to ensure that there are sufficient number of cases with precocious puberty in both training and validation sets.
• how: Data were analyzed using the PyCharm (Edition 2018.1 x64) embedded by the Python (Python Software Foundation) software (Version . . .
  

   

  

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