A hybrid feature selection algorithm to determine effective factors in predictive model of success rate for in vitro fertilization/intracytoplasmic sperm injection treatment: A cross-sectional study.

Journal: International journal of reproductive biomedicine
Published Date: Jan 25, 2024

Abstract

BACKGROUND: Previous research has identified key factors affecting in vitro fertilization or intracytoplasmic sperm injection success, yet the lack of a standardized approach for various treatments remains a challenge.

Authors

  • Ameneh Mehrjerd
    Department of Computer Sciences, Faculty of Mathematics, Statistics and Computer Sciences, University of Sistan and Baluchestan, Zahedan, Iran.
  • Hassan Rezaei
    Department of Computer Sciences, Faculty of Mathematics, Statistics and Computer Sciences, University of Sistan and Baluchestan, Zahedan, Iran.
  • Saeid Eslami
    Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Nayyere Khadem Ghaebi
    Department of Obstetrics and Gynecology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

Keywords

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