Using machine learning to predict patients with polycystic ovary disease in Chinese women
Objective: With an estimated global frequency ranging from5 % to 21 %, polycystic ovary syndrome (PCOS) is one of the most prevalent hormonal disorders. There are many factors found to be related to PCOS. However, most of these researches used traditional methods such as multiple logistic regression...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Taiwanese Journal of Obstetrics & Gynecology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1028455924002791 |
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