@inproceedings{9714afbb7f5f4f8fbda1a74bf70ab1cf,
title = "Clustering Cancer Data by Areas between Survival Curves",
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.",
keywords = "TNM, area between curves, breast cancer, dendrogram, hierarchical clustering, prognostic system, survival",
author = "Dechang Chen and Huan Wang and Henson, {Donald E.} and Li Sheng and Hueman, {Matthew T.} and Schwartz, {Arnold M.}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 1st IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016 ; Conference date: 27-06-2016 Through 29-06-2016",
year = "2016",
month = aug,
day = "16",
doi = "10.1109/CHASE.2016.35",
language = "English",
series = "Proceedings - 2016 IEEE 1st International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "61--66",
booktitle = "Proceedings - 2016 IEEE 1st International Conference on Connected Health",
}