Predicting Metformin Efficacy in Improving Insulin Sensitivity Among Women With Polycystic Ovary Syndrome and Insulin Resistance: A Machine Learning Study.

Journal: Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists

PMID: 39111591

Abstract

OBJECTIVE: Metformin is clinically effective in treating polycystic ovary syndrome (PCOS) with insulin resistance (IR), while its efficacy varies among individuals. This study aims to develop a machine learning model to predict the efficacy of metformin in improving insulin sensitivity among women with PCOS and IR.

Authors

Jiani Fu

School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China.
Yiwen Zhang
Xiaowen Cai

The Tenth Affiliated Hospital, Southern Medical University (Dongguan People's Hospital), Dongguan, China.
Yong Huang

State Key Laboratory for the Chemistry and Molecular Engineering of Medicinal Resources, Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection of Ministry Education, Guangxi Normal University, Guilin 541004, China.

Keywords

Adult Female Humans Hypoglycemic Agents Insulin Resistance Machine Learning Metformin Polycystic Ovary Syndrome Retrospective Studies Support Vector Machine Treatment Outcome Young Adult

External Resources

View on PubMed Access via DOI PubMed (39111591)

Predicting Metformin Efficacy in Improving Insulin Sensitivity Among Women With Polycystic Ovary Syndrome and Insulin Resistance: A Machine Learning Study.

Abstract

Authors

Keywords

External Resources

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