TLDR Machine learning can improve early and accurate detection of PCOS.
This study demonstrates that machine learning can significantly enhance the early and accurate detection of Polycystic Ovary Syndrome (PCOS) by analyzing clinical and demographic data. Using a dataset of 539 women, including 176 PCOS-positive cases, the study evaluated six machine learning models, with Random Forest achieving the highest performance with 93% accuracy and 86% sensitivity. Key predictive features included antral follicle count, hair growth, skin pigmentation, weight gain, and fast-food consumption. The findings suggest that integrating machine learning models into clinical practice could offer a cost-effective and efficient alternative to traditional diagnostic methods, facilitating timely interventions and improving patient outcomes.
20 citations
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September 2020 in “International journal of computer applications” The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
25 citations
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December 2017 in “The Journal of Clinical Endocrinology & Metabolism” Birth control pills combined with bicalutamide are more effective at reducing excessive hair growth in women with PCOS than birth control pills alone.
257 citations
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July 2018 in “Obstetrics & Gynecology” PCOS is a complex disorder in women that can lead to various health risks and requires personalized treatment.
53 citations
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December 2015 in “JAMA Dermatology” Women with PCOS often have more body hair, acne, and skin darkening, and these signs are linked to metabolic issues like insulin resistance and high cholesterol.
378 citations
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November 2011 in “Human reproduction update” Experts recommend using evidence-based methods to diagnose and treat hirsutism, focusing on symptoms and underlying causes.
November 2022 in “The Journal of Clinical Endocrinology and Metabolism” Postmenopausal hyperandrogenism, a condition with symptoms like increased hair growth and acne, is usually caused by PCOS but can also be due to other factors. It's diagnosed by checking testosterone levels and treated either by removing the adrenal tumor or through antiandrogen therapy.
