Polycystic ovary syndrome detection machine learning model based on optimized feature selection and explainable artificial intelligence

HIGHLIGHTS

  • who: Artificial Intelligence et al. from the Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, POBox, Riyadh, Saudi Arabia have published the Article: Polycystic Ovary Syndrome Detection Machine Learning Model Based on Optimized Feature Selection and Explainable Artificial Intelligence, in the Journal: Diagnostics 2023, 13, 1506. of 18/03/2023
  • what: The aim of the research is to provide model explanations to ensure efficiency effectiveness and trust in the developed model through local and global explanations. The authors provide several methods to explain the model in terms of . . .

     

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