Nutritional management recommendation systems in polycystic ovary syndrome: a systematic review.

Journal: BMC women's health
Published Date: Apr 12, 2024

Abstract

BACKGROUND: People with polycystic ovary syndrome suffer from many symptoms and are at risk of developing diseases such as hypertension and diabetes in the future. Therefore, the importance of self-care doubles. It is mainly to modify the lifestyle, especially following the principles of healthy eating. The purpose of this study is to review artificial intelligence-based systems for providing management recommendations, especially food recommendations.

Authors

  • Leila Shahmoradi
    Department of Health Information Management, Faculty of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
  • Leila Azadbakht
    Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.
  • Jebraeil Farzi
    Health Information Technology Department, School of Allied Medical Sciences, Zabol University of Medical Sciences, Zabol, Balouchestan, Sistan, Iran.
  • Sharareh Rostam Niakan Kalhori
    Health Information Management and Medical Informatics Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
  • Alireza Banaye Yazdipour
    Health Information Management and Medical Informatics Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran. byazdipoura@razi.tums.ac.ir.
  • Fahimeh Solat
    Health Information Management and Medical Informatics Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran. fahimehsolat78@gmail.com.

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