Polycystic Ovary Syndrome (PCOS) is a common endocrine disorder affecting around 13 million women in Bangladesh that can lead to various adverse pregnancy outcomes and infertility. Early detection of PCOS can help women manage their symptoms and reduce the risk of complications. But due to the lack of awareness, limited access to specialised medical care, and the expensive diagnosis process, many women remain undiagnosed and suffer from its effects. Therefore, we propose to develop a mobile application FertiMeter which will use a machine learning model incorporating an array of factors including menstrual cycle patterns, body mass
index (BMI), hirsutism, and behavioral characteristics for predicting PCOS. FertiMeter will also aware people through informative blog posts and video tutorials.
FertiMeter: A Free of Cost Screening Process of Polycystic Ovarian Syndrome and Enhancing Knowledge to Reduce Adverse Pregnancy Outcomes
Study Overview
Study Sites
Dhaka
Resources
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