Exploration and assessment of critical covariates of breast cancer outcomes via between-group test of survival rates at Sir Run Run Shaw Hospital

Youbing Zhao, Lingli Zhang, Jiajun Wu, Wenxian Hu, Feng Dong, Aihong Qin, Hao Zeng, Hao Xie, Tongqing Ma, Enjie Liu, Shengyou Lin, Zhefan Jin

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

Breast cancer, being the most pervasive malignancy globally, poses a substantial threat to the well-being of the female population. Given the pronounced heterogeneity in survival times among affected individuals, a comprehensive examination of the factors governing treatment outcomes becomes imperative. Leveraging a sizable dataset comprising 2,757 breast cancer patients from Sir Run Run Shaw Hospital, the current study endeavors to assess the foremost covariates influencing the survival outcomes in breast cancer through survival analysis. The analytical framework commences with the application of Kendall analysis to effectuate dimensionality reduction on the dataset. Subsequently, an overarching survival analysis encompassing the pertinent factors is carried out, followed by a series of individual factor-specific survival assessments. Lastly, the results are visualised and discussed. The primary objective of this study is to evaluate the crucial covariates by employing a between-group test of survival rates.
Original languageEnglish
Title of host publication2023 13th International Conference on Information Technology in Medicine and Education (ITME)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages462-467
Number of pages6
ISBN (Electronic)9798350319156
ISBN (Print)979-8-3503-1916-3
DOIs
Publication statusPublished - 25 Apr 2024
Event13th International Conference on Information Technology in Medicine and Education (ITME) - Wuyishan, China
Duration: 24 Nov 202326 Nov 2023

Publication series

NameIEEE International Conference on Information Technology in Medicine and Education (ITME)
PublisherIEEE
Volume2023
ISSN (Print)2474-381X
ISSN (Electronic)2474-3828

Conference

Conference13th International Conference on Information Technology in Medicine and Education (ITME)
Country/TerritoryChina
CityWuyishan
Period24/11/2326/11/23

Keywords

  • breast cancer
  • covariates
  • survival analysis
  • Kaplan-Meier
  • between-group test
  • log rank

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