International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Machine Learning Models for Cervical Cancer Risk Prediction |
|---|---|
| ABSTRACT | Cervical cancer is a leading preventable cause of death in low- and middle-income countries, particularly in India, necessitating effective early risk prediction for timely intervention. Existing classical machine learning models, while computationally efficient, often struggle with complex feature interactions inherent in high-dimensional biomedical datasets, limiting their predictive performance. To address these limitations, this paper presents a comprehensive Machine Learning (ML) framework that integrates multiple supervised learning algorithms within a robust, end-to-end pipeline for cervical cancer risk prediction. Utilizing the public UCI Machine Learning Repository dataset, a complete experimental process encompassing data preprocessing, feature selection, model training, ensemble fusion, and comprehensive visualization was conducted. The results demonstrate that the proposed ensemble ML framework delivers superior predictive performance, enhanced robustness, and strong generalization capabilities, making it a clinically relevant and statistically defensible approach for translational healthcare research. |
| AUTHOR | M RAVIKANTH, DR. D. SIRISHA, ANJANI DEDEEPYA S., SYED AFZAL AHMED, B JASHWANTH KUMAR, N SIMHACHALAM, B BHUMIKA Professor, Department of Computer Science and Engineering (Data Science), NSRIT, Visakhapatnam, India Professor, Department of Computer Science and Engineering, NSRIT, Visakhapatnam, India Students, Department of Computer Science and Engineering (Data Science), NSRIT, Visakhapatnam, India |
| VOLUME | 182 |
| DOI | DOI: 10.15680/IJIRCCE. 2026.1403074 |
| pdf/74_Machine Learning Models for Cervical Cancer Risk Prediction.pdf | |
| KEYWORDS | |
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