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Huaying Fan on Muck Rack

Huaying Fan

As seen in: Frontiers
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Articles

Machine learning and deep learning for diagnosis of Polyendocrine Metabolic Ovarian Syndrome: systematic review and meta-analysis

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By Sifan Chen, Feiyan Cai, Chenjian Tang, Xiaohua Chen, Jiao Chen, Ping Wu, Huaying Fan
| Frontiers
Abstract Background: Polyendocrine Metabolic Ovarian Syndrome (PMOS) is a prevalent endocrine disorder with a challenging, heterogeneous diagnosis. Machine learning (ML) and deep learning (DL) models show promise for automated diagnosis, but a quantitative synthesis of their accuracy is lacking. Objective: To evaluate the diagnostic accuracy of ML/DL models for PMOS and identify factors influencing performance.
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