| Abstrakt: |
A recent study conducted at Jamia Millia Islamia focused on predicting polycystic ovarian syndrome (PCOS) in women using deep learning models. The study found that 31.3% of Asian women are affected by PCOS, which can lead to miscarriages and ovulation problems. The researchers proposed three lightweight deep learning models with SMOTE for dataset balancing, achieving high accuracy rates and performance in PCOS prediction. This research aims to improve early detection of PCOS and reduce the number of failed pregnancies, offering potential benefits for women's health. [Extracted from the article] |
