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A common hormonal condition, polycystic ovarian syndrome (PCOS), affects the ovaries. There is an irregular period, excessive hair growth, acne, and infertility associated with the disorder. Diabetes and high blood pressure may be more prevalent in people with PCOS. Several women in their reproductive years are affected by polycystic ovary syndrome. The reason is when the menstrual cycle is prolonged and there is an excessive level of androgen. Gynecomastia and hirsutism result from this, as well as impotence. Analyzing ultrasound images is crucial for understanding women's conditions since they reveal the number, size, and position of follicles. Despite this, PCOS is neither detectable nor understandable by solid, objective tests. They are unable to get pregnant because of this hormone imbalance. The condition can also result in diabetes and heart disease in the long run. To prevent further complications from PCOS, we need to find a method of diagnosing it at an early stage. This work's aim is to reduce fatal complications for women. For this, various machine learning and ensemble techniques are employed.

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PCOS Screening Using Machine Learning and Ensemble Learning Techniques in a Smart Way

  • 会议论文

  • 发表日期：

    2025年

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  • B. Mamatha,
  • S. Rao Chintalapudi,
  • S. Suma,
  • Nazia Nusrath Ul Ain,
  • J. Bharthi,
  • R. Meenatchi

摘要

A common hormonal condition, polycystic ovarian syndrome (PCOS), affects the ovaries. There is an irregular period, excessive hair growth, acne, and infertility associated with the disorder. Diabetes and high blood pressure may be more prevalent in people with PCOS. Several women in their reproductive years are affected by polycystic ovary syndrome. The reason is when the menstrual cycle is prolonged and there is an excessive level of androgen. Gynecomastia and hirsutism result from this, as well as impotence. Analyzing ultrasound images is crucial for understanding women's conditions since they reveal the number, size, and position of follicles. Despite this, PCOS is neither detectable nor understandable by solid, objective tests. They are unable to get pregnant because of this hormone imbalance. The condition can also result in diabetes and heart disease in the long run. To prevent further complications from PCOS, we need to find a method of diagnosing it at an early stage. This work's aim is to reduce fatal complications for women. For this, various machine learning and ensemble techniques are employed.