Proceedings of the International Conference on Advanced Technology and Multidiscipline (ICATAM 2024)

<Previous Article In Volume
Next Article In Volume>

Survival Analysis in Breast Cancer Patients: Cox Proportional Hazard Regression Model to Evaluate Risk Factors

Authors
Gede Nayaka Baswara1, *, Z. H. Bramastya1, Nadiya Mujahidatul Farhani1, C. D. Krisna Bayu1, S. L. Bunga Citra1, Ratih Ardiati Ningrum1
1Data Science Technology, Airlangga University, Surabaya, Indonesia
*Corresponding author.
Corresponding Author
Gede Nayaka Baswara
Available Online 1 November 2024.
DOI
10.2991/978-94-6463-566-9_24How to use a DOI?
Keywords
breast cancer; survival analysis; treatment strategy
Abstract

This study aims to analyze the factors that influence the survival of breast cancer patients using the Cox Proportional Hazard model. The data used comes from the NKI breast cancer dataset which includes information about patients, treatment and survival. Analysis was carried out using the Cox Stratified and Cox Extended models, by testing the Proportional Hazard assumption and selecting the best model based on the Akaike Information Criterion (AIC). The results of the study showed that several variables such as age, type of treatment, histology type, tumor diameter, and number of positive nodes had a significant influence on the risk level in breast cancer sufferers. These findings provide valuable insight into identifying key factors influencing survival, thereby helping to improve treatment strategies and management of breast cancer patients.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Advanced Technology and Multidiscipline (ICATAM 2024)
Series
Advances in Engineering Research
Publication Date
1 November 2024
ISBN
978-94-6463-566-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-566-9_24How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Gede Nayaka Baswara
AU  - Z. H. Bramastya
AU  - Nadiya Mujahidatul Farhani
AU  - C. D. Krisna Bayu
AU  - S. L. Bunga Citra
AU  - Ratih Ardiati Ningrum
PY  - 2024
DA  - 2024/11/01
TI  - Survival Analysis in Breast Cancer Patients: Cox Proportional Hazard Regression Model to Evaluate Risk Factors
BT  - Proceedings of the  International Conference on Advanced Technology and Multidiscipline (ICATAM 2024)
PB  - Atlantis Press
SP  - 372
EP  - 385
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-566-9_24
DO  - 10.2991/978-94-6463-566-9_24
ID  - Baswara2024
ER  -