A data-driven approach to PCOS Diagnosis: Systematic review of machine learning applications in reproductive health
Authors
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
Language: English
Page range: 290 - 302
Submitted on: Apr 25, 2025
Accepted on: Sep 18, 2025
Published on: Dec 11, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Related subjects:
© 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.