Clustering Cancer Data by Areas between Survival Curves

Dechang Chen, Huan Wang, Donald E. Henson, Li Sheng, Matthew Timothy Hueman, Arnold M. Schwartz

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

Abstract

We propose a hierarchical clustering method for prognostic clustering of cancer patients. Dissimilarity between two subsets of patients is defined as the area between two corresponding Kaplan-Meier curves. The proposed method is applied to the breast cancer data from the Surveillance, Epidemiology, and End Results (SEER) Program of the National Cancer Institute and compared with the linkage approach. The proposed method is convenient to use and can generate dendrograms compatible with those from the linkage approach.

Original languageEnglish (US)
Title of host publicationProceedings - 2016 IEEE 1st International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages61-66
Number of pages6
ISBN (Electronic)9781509009435
DOIs
StatePublished - Aug 16 2016
Externally publishedYes
Event1st IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016 - Washington, United States
Duration: Jun 27 2016Jun 29 2016

Other

Other1st IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016
CountryUnited States
CityWashington
Period6/27/166/29/16

Fingerprint

Epidemiology
Cancer
Clustering
Linkage

Keywords

  • area between curves
  • breast cancer
  • dendrogram
  • hierarchical clustering
  • prognostic system
  • survival
  • TNM

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems and Management
  • Biomedical Engineering
  • Computer Networks and Communications
  • Hardware and Architecture

Cite this

Chen, D., Wang, H., Henson, D. E., Sheng, L., Hueman, M. T., & Schwartz, A. M. (2016). Clustering Cancer Data by Areas between Survival Curves. In Proceedings - 2016 IEEE 1st International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016 (pp. 61-66). [7545814] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CHASE.2016.35

Clustering Cancer Data by Areas between Survival Curves. / Chen, Dechang; Wang, Huan; Henson, Donald E.; Sheng, Li; Hueman, Matthew Timothy; Schwartz, Arnold M.

Proceedings - 2016 IEEE 1st International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 61-66 7545814.

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

Chen, D, Wang, H, Henson, DE, Sheng, L, Hueman, MT & Schwartz, AM 2016, Clustering Cancer Data by Areas between Survival Curves. in Proceedings - 2016 IEEE 1st International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016., 7545814, Institute of Electrical and Electronics Engineers Inc., pp. 61-66, 1st IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016, Washington, United States, 6/27/16. https://doi.org/10.1109/CHASE.2016.35
Chen D, Wang H, Henson DE, Sheng L, Hueman MT, Schwartz AM. Clustering Cancer Data by Areas between Survival Curves. In Proceedings - 2016 IEEE 1st International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 61-66. 7545814 https://doi.org/10.1109/CHASE.2016.35
Chen, Dechang ; Wang, Huan ; Henson, Donald E. ; Sheng, Li ; Hueman, Matthew Timothy ; Schwartz, Arnold M. / Clustering Cancer Data by Areas between Survival Curves. Proceedings - 2016 IEEE 1st International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 61-66
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