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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

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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.