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

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.

Materials and methods

This study started by searching three databases: PubMed, Scopus, and Web of Science, from inception until 6 June 2023. The result was the retrieval of 15,064 articles. First, we removed duplicate studies. After the title and abstract screening, 119 articles remained. Finally, after reviewing the full text

SUBMITTER: Shahmoradi L 

PROVIDER: S-EPMC11015675 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature