A patient-specific model combining antimüllerian hormone and body mass index as a predictor of polycystic ovary syndrome and other oligo-anovulation disorders
Author:
Publisher
Elsevier BV
Subject
Obstetrics and Gynecology,Reproductive Medicine
Reference53 articles.
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2. Anovulation;Hamilton-Fairley;BMJ,2003
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2. The Development of Polycystic Ovary Syndrome Risk Evaluation System using Advanced Machine Learning Technique;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24
3. Utility of Serum Anti-Müllerian Hormone Measurement as Part of Polycystic Ovary Syndrome Diagnosis;Seminars in Reproductive Medicine;2024-03
4. Anti-Mullerian Hormone Assessment in Assisted Reproductive Technique Outcome and Natural Conception;Seminars in Reproductive Medicine;2024-03
5. Predicting polycystic ovary syndrome with machine learning algorithms from electronic health records;Frontiers in Endocrinology;2024-01-30
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