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A data-driven approach to PCOS Diagnosis: Systematic review of machine learning applications in reproductive health Cover

A data-driven approach to PCOS Diagnosis: Systematic review of machine learning applications in reproductive health

Open Access
|Dec 2025

Authors

V P Akshay

vpakshay30@gmail.com

Mansarovar Global University, Bhopal, India

Ritvik Sriram

Tirunelveli Medical College, Tirunelveli, India

Keerthana

IQVIA, Bengaluru, India

N S Delna

BioDeskINDIA Labs, Bhopal, India

Pranav Verma

Chitkara college of pharmacy, Chitkara University, Rajpura, India

Bhanu Verma

University School of Pharmaceutical Sciences, Rayat Bahra University, Sahauran, India

Mansi Trivedi

Humera Khan College of Pharmacy, University of Mumbai, Mumbai, India

Shanmukhi Mogalipuvvu

Mamata academy of medical sciences, Hyderabad, India

Sasikala Kathiresan

All India Institute of Medical Sciences, Madurai, India

Lalitha Soumya Johnson

Dr. Janaki Ammal Campus, Kannur University, Kannur, India

Bhavit Bansal

Central Council for Research in Yoga and Naturopathy, Delhi, India

Muhammed Asif

Centennial College, Toronto, Canada

Shubhrit Shrivastava

BioDeskINDIA Labs, Bhopal, India

Liya Sebastian

Nikola Tesla STEM High School, Redmond, USA
DOI: https://doi.org/10.2478/amma-2025-0054 | Journal eISSN: 2668-7763 | Journal ISSN: 2668-7755
Language: English
Page range: 290 - 302
Submitted on: Apr 25, 2025
Accepted on: Sep 18, 2025
Published on: Dec 11, 2025
Published by: University of Medicine, Pharmacy, Science and Technology of Targu Mures
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 V P Akshay, Ritvik Sriram, Keerthana, N S Delna, Pranav Verma, Bhanu Verma, Mansi Trivedi, Shanmukhi Mogalipuvvu, Sasikala Kathiresan, Lalitha Soumya Johnson, Bhavit Bansal, Muhammed Asif, Shubhrit Shrivastava, Liya Sebastian, published by University of Medicine, Pharmacy, Science and Technology of Targu Mures
This work is licensed under the Creative Commons Attribution 4.0 License.