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Using a Decision Tree Algorithm Predictive Model for Sperm Count Assessment and Risk Factors in Health Screening Population.

Hung-Hsiang HuangChi-Jie LuMao-Jhen JhouTzu-Chi LiuChih-Te YangShang-Ju HsiehWen-Jen YangHsiao-Chun ChangMing-Shu Chen
Published in: Risk management and healthcare policy (2023)
The ML algorithm established a predictive model for healthcare personnel to assess low sperm counts. Refinement of the model using additional data is crucial for improved precision. The risk factors identified offer avenues for future investigations.
Keyphrases
  • risk factors
  • healthcare
  • machine learning
  • deep learning
  • public health
  • peripheral blood
  • big data
  • electronic health record
  • artificial intelligence
  • neural network
  • clinical evaluation