A Heuristic Model For Personalised Risk Assesment of PCOS
- Title
- A Heuristic Model For Personalised Risk Assesment of PCOS
- Creator
- Singh N.; Sharma V.; Gupta V.
- Description
- According to WHO 8-13% of women are affected by Polycystic Ovary Syndrome (PCOS) out of which 70% women remain undiagnosed, it is a common endocrine disorder necessitating early diagnosis for timely intervention. In this paper a heuristic model is developed for PCOS prediction, by combining XGBoost and Random Forest through stacking techniques. Class imbalance was addressed using Random Oversampling. Cross-validation demonstrated the meta-model's superior accuracy compared to individual XGBoost and Random Forest models, highlighting its potential for reliable PCOS prediction. It is observed that the best possible results that the meta-model was able to provide was a score of 93.5% which was acquired in the 4th sample, the lowest score was 87.90% attained in the 2nd sample. To finalise the results, the mean accuracy was calculated which is 90.98% with a standard deviation of 1.96. deterministic model offers reproducible results and interpretability, aiding clinical decision-making. Future research could explore additional biomarkers and probabilistic techniques for personalized risk assessment. 2024 IEEE.
- Source
- 4th International Conference on Innovative Practices in Technology and Management 2024, ICIPTM 2024
- Date
- 2024-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- early diagnosis; Machine Learning; PCOS; Random Forest; Stacking; XGBoost
- Coverage
- Singh N., School of Sciences, Christ (Deemed to Be University), Delhi, India; Sharma V., Christ (Deemed to Be University), Department of Computational Sciences, Delhi, India; Gupta V., Christ (Deemed to Be University), Department of Computational Sciences, Delhi, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835030775-7
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Singh N.; Sharma V.; Gupta V., “A Heuristic Model For Personalised Risk Assesment of PCOS,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/19395.