Enhancing PCOS Prediction: A System based on Ensemble Machine Learning Techniques-Reference-Cited by-同舟云学术

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Enhancing PCOS Prediction: A System based on Ensemble Machine Learning Techniques

Published:2023-11-25 Issue: Volume:4 Page:108-113
ISSN:
Container-title:2023 IEEE 9th International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)
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Author:

Khan Moriom¹,Nila Farzana¹,Tabasaum Nafisa¹,Suha Sayma Alam²,Islam Muhammad Nazrul³

Affiliation:

1. Bangladesh University of Professionals,Department of ICT,Dhaka,Bangladesh

2. Bangladesh Army International University of Science & Technology,Department of Computer Science & Engineering,Cumilla,Bangladesh

3. Military Institute of Science and Technology,Department of Computer Science & Engineering,Dhaka,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10456368/10456369/10456492.pdf?arnumber=10456492

Reference24 articles.

1. Deep Learning Algorithm for Automated Detection of Polycystic Ovary Syndrome Using Scleral Images

2. Prevalence and characteristics of polycystic ovarian syndrome in women attending in outpatient department of obstetrics and gynecology of Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh

3. Lifestyle management in polycystic ovary syndrome – beyond diet and physical activity

4. Polycystic Ovary Syndrome: Important Underrecognised Cardiometabolic Risk Factor in Reproductive-Age Women

5. Berberine—A Promising Therapeutic Approach to Polycystic Ovary Syndrome in Infertile/Pregnant Women

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