Machine learning predictive models for evaluating risk factors affecting sperm count: predictions based on health screening indicators

HIGHLIGHTS

• who: Hung-Hsiang Huang and colleagues from the Division of Urology, Department of Surgery, Far Eastern Memorial Hospital, New Taipei City, Taiwan Department of Healthcare Administration, College of Healthcare and Management, Asia Eastern University of have published the research work: Machine Learning Predictive Models for Evaluating Risk Factors Affecting Sperm Count: Predictions Based on Health Screening Indicators, in the Journal: (JOURNAL) of 15/02/2022
• what: This study proposed a framework using five machine learning (ML) predictive algorithms-random forest stochastic gradient boosting least absolute shrinkage and selection operator regression ridge regression and extreme gradient . . .
  

   

  

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