Integrating Supervised and Self-Supervised Models for an Enhanced PCOS Detection: A Data-Driven Approach with Machine Learning Perspective

CCDS Authors

Ashraful Islam, PhD

Center DirectorDirector, Human-Computer Interaction Wing

References

1. 1.Kathleen M. Hoeger, Anuja Dokras, Terhi Piltonen. (2020). Update on PCOS: Consequences, Challenges, and Guiding Treatment. The Journal of Clinical Endocrinology & Metabolism, 106(3), e1071–e1083[10.1210/clinem/dgaa839]
2. 2.Jan Egger, Christina Gsaxner, Antonio Pepe, Kelsey L. Pomykala, Frederic Jonske, Manuel Kurz, Jianning Li, Jens Kleesiek. (2022). Medical deep learning—A systematic meta-review. Computer Methods and Programs in Biomedicine, 221, 106874[10.1016/j.cmpb.2022.106874]
3. 3.Yvonne V. Louwers, Joop S.E. Laven. (2020). Characteristics of polycystic ovary syndrome throughout life. Therapeutic Advances in Reproductive Health, 14, 2633494120911038[10.1177/2633494120911038]
4. 4.Ashwini Kodipalli, Susheela Devi. (2021). Prediction of PCOS and Mental Health Using Fuzzy Inference and SVM. Frontiers in Public Health, 9, 789569[10.3389/fpubh.2021.789569]
5. 5.Abrar Alamoudi, Irfan Ullah Khan, Nida Aslam, Nourah Alqahtani, Hind S. Alsaif, Omran Al Dandan, Mohammed Al Gadeeb, Ridha Al Bahrani. (2023). A Deep Learning Fusion Approach to Diagnosis the Polycystic Ovary Syndrome (PCOS). Applied Computational Intelligence and Soft Computing, 2023, 1–15[10.1155/2023/9686697]
6. 6.Hiya Islam, Jaasia Masud, Yushe Nazrul Islam, Fahim Kabir Monjurul Haque. (2022). An update on polycystic ovary syndrome: A review of the current state of knowledge in diagnosis, genetic etiology, and emerging treatment options. Women s Health, 18, 17455057221117966[10.1177/17455057221117966]
7. 7.Błażej Męczekalski, Olga Niwczyk, Anna Kostrzak, Marzena Maciejewska-Jeske, Gregory Bala, Anna Szeliga. (2023). PCOS in Adolescents—Ongoing Riddles in Diagnosis and Treatment. Journal of Clinical Medicine, 12(3), 1221[10.3390/jcm12031221]
8. 8.Anju E. Joham, Terhi Piltonen, Marla E. Lujan, Sylvia Kiconco, Chau Thien Tay. (2022). Challenges in diagnosis and understanding of natural history of polycystic ovary syndrome. Clinical Endocrinology, 97(2), 165–173[10.1111/cen.14757]
9. 9.Ananya Chaudhuri. (2023). Polycystic ovary syndrome: Causes, symptoms, pathophysiology, and remedies. Obesity Medicine, 39, 100480[10.1016/j.obmed.2023.100480]
10. 10.Chandana Rayasandra Satish, XinYing Chew, Khai Wah Khaw. (2020). Polycystic Ovarian Syndrome (PCOS) classification and feature selection by machine learning techniques.
11. 11.S. Sowmiya, U. Snekhalatha, Omar Alhajlah, Fadiyah Almutairi, Shabnam Mohamed Aslam, R. K. Ahalya. (2024). F-Net: Follicles Net an efficient tool for the diagnosis of polycystic ovarian syndrome using deep learning techniques. PLoS ONE, 19(8), e0307571[10.1371/journal.pone.0307571]
12. 12.Tessa Copp, Danielle Marie Muscat, Jolyn Hersch, Kirsten McCaffery, Jenny Doust, Ben W. Mol, Anuja Dokras, Jesse Jansen. (2020). Clinicians’ perspectives on diagnosing polycystic ovary syndrome in Australia: a qualitative study. Human Reproduction, 35(3), 660–668[10.1093/humrep/deaa005]
13. 13.Tracy N. H. Harrison, R. Jeffrey Chang. (2022). Ovarian response to follicle‐stimulating hormone in women with polycystic ovary syndrome is diminished compared to ovulatory controls. Clinical Endocrinology, 97(3), 310–318[10.1111/cen.14708]
14. 14.Vaidehi Mendpara, Narendranath Reddy Ganampet, Sabah Afroze, Sulochana Gnanasekaran, Sweta Sahu, Rahmatulhusna Atikah, Shreyaa Rajpal, Prithvi Raghavan, Krithika Ajith, Mihirkumar P Parmar, Vishal Venugopal. (2023). Long-Term Effects of Treatment Modalities on Metabolic Health, Fertility Outcomes, and Cardiovascular Risks in Lean Women with Polycystic Ovary Syndrome (PCOS): A Systematic Review. Research Square[10.21203/rs.3.rs-3360467/v1]
15. 15.National Diabetes Information Clearinghouse (NDIC). (2020). Polycystic ovary syndrome (PCOS). Definitions[10.32388/1jsned]