MACHINE LEARNING APPROACH FOR CERVICAL CANCER PREDICTION

Authors

  • C. Jayasundari ,P. Arumugam

Keywords:

Cervical Cancer, Machine Learning, Feature selection, XGBoost, Biopsy, Predictive Modeling, Healthcare.

Abstract

Cervical cancer remains a major health concern worldwide, especially in developing countrieswhere screening programs may be less accessible. Early detection through accurate predictive models can significantly reduce mortality

References

Akinyelu, A. A., & Blount, M. (2020). Machine learning approaches to breast cancer detection: A systematic review. Heliyon, 6(11), e04983.

https://doi.org/10.1016/j.heliyon.2020.e04983

Al-Mousa, D. S., & Alakhras, M. (2020). Cervical cancer detection and classification using machine learning techniques: A systematic review. Applied Sciences, 10(18), 6474. https://doi.org/10.3390/app10186474

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Published

2024-05-10

How to Cite

C. Jayasundari ,P. Arumugam. (2024). MACHINE LEARNING APPROACH FOR CERVICAL CANCER PREDICTION. Journal of Computational Analysis and Applications (JoCAAA), 33(05), 1778–1789. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/2810

Issue

Vol. 33 No. 05 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.