A Comparative Study on Cervical Cancer Prediction using Various Data Mining Algorithms

Ameen; Aqsa Begum; Soumyalatha Naveen

doi:10.1109/NKCon59507.2023.10396220

A Comparative Study on Cervical Cancer Prediction using Various Data Mining Algorithms

Ameen^*
, Aqsa Begum
, Soumyalatha Naveen

^*Corresponding author for this work

School of Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Cervical cancer is a significant health issue affecting women worldwide. It is the most common cancer in women. Human papillomavirus infection is the primary cause of cervical cancer and risk factors have been identified, such as intercourse at early age, more than 1 sexual partner and drug addict. Prevention strategies include HPV vaccination, regular screening with Pap tests, and HPV testing. Early detection of cervical cancer can be done by using several methods like screening method. the methods of treating cervical cancer are chemotherapy, surgery and radiation therapy. Despite advances in prevention and treatment, disparities in access to healthcare and screening services exist, leading to higher incidence and mortality rates among certain populations. This paper focuses on risk factors, prevention, and management of cervical cancer using, Decision tree, K nearest neighbor(KNN),Logistic regression and Support vector machine(SVM) with 94.2% accuracy in prediction using SVM.

Original language	English
Title of host publication	Proceedings of NKCon 2023 - 2nd IEEE North Karnataka Subsection Flagship International Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350314045
DOIs	https://doi.org/10.1109/NKCon59507.2023.10396220
Publication status	Published - 2023
Event	2nd IEEE North Karnataka Subsection Flagship International Conference, NKCon 2023 - Karnataka, India Duration: 19-11-2023 → 20-11-2023

Publication series

Name	Proceedings of NKCon 2023 - 2nd IEEE North Karnataka Subsection Flagship International Conference

Conference

Conference	2nd IEEE North Karnataka Subsection Flagship International Conference, NKCon 2023
Country/Territory	India
City	Karnataka
Period	19-11-23 → 20-11-23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Information Systems and Management
Control and Optimization
Modelling and Simulation
Artificial Intelligence
Computer Vision and Pattern Recognition

Access to Document

10.1109/NKCon59507.2023.10396220

Cite this

Ameen, Begum, A., & Naveen, S. (2023). A Comparative Study on Cervical Cancer Prediction using Various Data Mining Algorithms. In Proceedings of NKCon 2023 - 2nd IEEE North Karnataka Subsection Flagship International Conference (Proceedings of NKCon 2023 - 2nd IEEE North Karnataka Subsection Flagship International Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NKCon59507.2023.10396220

Ameen ; Begum, Aqsa ; Naveen, Soumyalatha. / A Comparative Study on Cervical Cancer Prediction using Various Data Mining Algorithms. Proceedings of NKCon 2023 - 2nd IEEE North Karnataka Subsection Flagship International Conference. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings of NKCon 2023 - 2nd IEEE North Karnataka Subsection Flagship International Conference).

@inproceedings{2ff4b51ece554752892b96fe028da699,

title = "A Comparative Study on Cervical Cancer Prediction using Various Data Mining Algorithms",

abstract = "Cervical cancer is a significant health issue affecting women worldwide. It is the most common cancer in women. Human papillomavirus infection is the primary cause of cervical cancer and risk factors have been identified, such as intercourse at early age, more than 1 sexual partner and drug addict. Prevention strategies include HPV vaccination, regular screening with Pap tests, and HPV testing. Early detection of cervical cancer can be done by using several methods like screening method. the methods of treating cervical cancer are chemotherapy, surgery and radiation therapy. Despite advances in prevention and treatment, disparities in access to healthcare and screening services exist, leading to higher incidence and mortality rates among certain populations. This paper focuses on risk factors, prevention, and management of cervical cancer using, Decision tree, K nearest neighbor(KNN),Logistic regression and Support vector machine(SVM) with 94.2\% accuracy in prediction using SVM.",

author = "Ameen and Aqsa Begum and Soumyalatha Naveen",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2nd IEEE North Karnataka Subsection Flagship International Conference, NKCon 2023 ; Conference date: 19-11-2023 Through 20-11-2023",

year = "2023",

doi = "10.1109/NKCon59507.2023.10396220",

language = "English",

series = "Proceedings of NKCon 2023 - 2nd IEEE North Karnataka Subsection Flagship International Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings of NKCon 2023 - 2nd IEEE North Karnataka Subsection Flagship International Conference",

address = "United States",

}

Ameen, Begum, A & Naveen, S 2023, A Comparative Study on Cervical Cancer Prediction using Various Data Mining Algorithms. in Proceedings of NKCon 2023 - 2nd IEEE North Karnataka Subsection Flagship International Conference. Proceedings of NKCon 2023 - 2nd IEEE North Karnataka Subsection Flagship International Conference, Institute of Electrical and Electronics Engineers Inc., 2nd IEEE North Karnataka Subsection Flagship International Conference, NKCon 2023, Karnataka, India, 19-11-23. https://doi.org/10.1109/NKCon59507.2023.10396220

A Comparative Study on Cervical Cancer Prediction using Various Data Mining Algorithms. / Ameen; Begum, Aqsa; Naveen, Soumyalatha.
Proceedings of NKCon 2023 - 2nd IEEE North Karnataka Subsection Flagship International Conference. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings of NKCon 2023 - 2nd IEEE North Karnataka Subsection Flagship International Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A Comparative Study on Cervical Cancer Prediction using Various Data Mining Algorithms

AU - Ameen,

AU - Begum, Aqsa

AU - Naveen, Soumyalatha

PY - 2023

Y1 - 2023

N2 - Cervical cancer is a significant health issue affecting women worldwide. It is the most common cancer in women. Human papillomavirus infection is the primary cause of cervical cancer and risk factors have been identified, such as intercourse at early age, more than 1 sexual partner and drug addict. Prevention strategies include HPV vaccination, regular screening with Pap tests, and HPV testing. Early detection of cervical cancer can be done by using several methods like screening method. the methods of treating cervical cancer are chemotherapy, surgery and radiation therapy. Despite advances in prevention and treatment, disparities in access to healthcare and screening services exist, leading to higher incidence and mortality rates among certain populations. This paper focuses on risk factors, prevention, and management of cervical cancer using, Decision tree, K nearest neighbor(KNN),Logistic regression and Support vector machine(SVM) with 94.2% accuracy in prediction using SVM.

AB - Cervical cancer is a significant health issue affecting women worldwide. It is the most common cancer in women. Human papillomavirus infection is the primary cause of cervical cancer and risk factors have been identified, such as intercourse at early age, more than 1 sexual partner and drug addict. Prevention strategies include HPV vaccination, regular screening with Pap tests, and HPV testing. Early detection of cervical cancer can be done by using several methods like screening method. the methods of treating cervical cancer are chemotherapy, surgery and radiation therapy. Despite advances in prevention and treatment, disparities in access to healthcare and screening services exist, leading to higher incidence and mortality rates among certain populations. This paper focuses on risk factors, prevention, and management of cervical cancer using, Decision tree, K nearest neighbor(KNN),Logistic regression and Support vector machine(SVM) with 94.2% accuracy in prediction using SVM.

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DO - 10.1109/NKCon59507.2023.10396220

M3 - Conference contribution

AN - SCOPUS:85185000591

T3 - Proceedings of NKCon 2023 - 2nd IEEE North Karnataka Subsection Flagship International Conference

BT - Proceedings of NKCon 2023 - 2nd IEEE North Karnataka Subsection Flagship International Conference

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd IEEE North Karnataka Subsection Flagship International Conference, NKCon 2023

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ER -

Ameen, Begum A, Naveen S. A Comparative Study on Cervical Cancer Prediction using Various Data Mining Algorithms. In Proceedings of NKCon 2023 - 2nd IEEE North Karnataka Subsection Flagship International Conference. Institute of Electrical and Electronics Engineers Inc. 2023. (Proceedings of NKCon 2023 - 2nd IEEE North Karnataka Subsection Flagship International Conference). doi: 10.1109/NKCon59507.2023.10396220

A Comparative Study on Cervical Cancer Prediction using Various Data Mining Algorithms

Abstract

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