A clustering-based approach to predict outcome in cancer patients

Kai Xing; Dechang Chen; Donald Henson; Li Sheng

doi:10.1109/ICMLA.2007.2

A clustering-based approach to predict outcome in cancer patients

Kai Xing^*, Dechang Chen, Donald Henson, Li Sheng

^*Corresponding author for this work

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

10 Scopus citations

Abstract

The TNM (Tumor, Lymph Node, Metastasis) is a widely used staging system for predicting the outcome of cancer patients. However, the TNM is not accurate in prediction, partially due to the fact of deficient staging within and between stages. Based on the availability of large cancer patient datasets, there is a need to expand the TNM. In this paper, we present a general clustering-based approach to accomplish this task of expansion. This approach admits multiple factors. One major advantage of the approach is that patients within each generated group are homogeneous in terms of survival, so that a more accurate prediction of outcome of patients can be made. A demonstration of use of the proposed method is given for breast cancer patients.

Original language	English
Title of host publication	Proceedings - 6th International Conference on Machine Learning and Applications, ICMLA 2007
Pages	541-546
Number of pages	6
DOIs	https://doi.org/10.1109/ICMLA.2007.2
State	Published - 2007
Externally published	Yes
Event	6th International Conference on Machine Learning and Applications, ICMLA 2007 - Cincinnati, OH, United States Duration: 13 Dec 2007 → 15 Dec 2007

Publication series

Name	Proceedings - 6th International Conference on Machine Learning and Applications, ICMLA 2007

Conference

Conference	6th International Conference on Machine Learning and Applications, ICMLA 2007
Country/Territory	United States
City	Cincinnati, OH
Period	13/12/07 → 15/12/07

Keywords

Breast cancer
Clustering
Survival curve
TNM

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10.1109/ICMLA.2007.2

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Xing, K., Chen, D., Henson, D., & Sheng, L. (2007). A clustering-based approach to predict outcome in cancer patients. In Proceedings - 6th International Conference on Machine Learning and Applications, ICMLA 2007 (pp. 541-546). Article 4457286 (Proceedings - 6th International Conference on Machine Learning and Applications, ICMLA 2007). https://doi.org/10.1109/ICMLA.2007.2

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title = "A clustering-based approach to predict outcome in cancer patients",

abstract = "The TNM (Tumor, Lymph Node, Metastasis) is a widely used staging system for predicting the outcome of cancer patients. However, the TNM is not accurate in prediction, partially due to the fact of deficient staging within and between stages. Based on the availability of large cancer patient datasets, there is a need to expand the TNM. In this paper, we present a general clustering-based approach to accomplish this task of expansion. This approach admits multiple factors. One major advantage of the approach is that patients within each generated group are homogeneous in terms of survival, so that a more accurate prediction of outcome of patients can be made. A demonstration of use of the proposed method is given for breast cancer patients.",

keywords = "Breast cancer, Clustering, Survival curve, TNM",

author = "Kai Xing and Dechang Chen and Donald Henson and Li Sheng",

year = "2007",

doi = "10.1109/ICMLA.2007.2",

language = "English",

isbn = "0769530699",

series = "Proceedings - 6th International Conference on Machine Learning and Applications, ICMLA 2007",

pages = "541--546",

booktitle = "Proceedings - 6th International Conference on Machine Learning and Applications, ICMLA 2007",

note = "6th International Conference on Machine Learning and Applications, ICMLA 2007 ; Conference date: 13-12-2007 Through 15-12-2007",

}

Xing, K, Chen, D, Henson, D & Sheng, L 2007, A clustering-based approach to predict outcome in cancer patients. in Proceedings - 6th International Conference on Machine Learning and Applications, ICMLA 2007., 4457286, Proceedings - 6th International Conference on Machine Learning and Applications, ICMLA 2007, pp. 541-546, 6th International Conference on Machine Learning and Applications, ICMLA 2007, Cincinnati, OH, United States, 13/12/07. https://doi.org/10.1109/ICMLA.2007.2

A clustering-based approach to predict outcome in cancer patients. / Xing, Kai; Chen, Dechang; Henson, Donald et al.
Proceedings - 6th International Conference on Machine Learning and Applications, ICMLA 2007. 2007. p. 541-546 4457286 (Proceedings - 6th International Conference on Machine Learning and Applications, ICMLA 2007).

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

TY - GEN

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AU - Xing, Kai

AU - Chen, Dechang

AU - Henson, Donald

AU - Sheng, Li

PY - 2007

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N2 - The TNM (Tumor, Lymph Node, Metastasis) is a widely used staging system for predicting the outcome of cancer patients. However, the TNM is not accurate in prediction, partially due to the fact of deficient staging within and between stages. Based on the availability of large cancer patient datasets, there is a need to expand the TNM. In this paper, we present a general clustering-based approach to accomplish this task of expansion. This approach admits multiple factors. One major advantage of the approach is that patients within each generated group are homogeneous in terms of survival, so that a more accurate prediction of outcome of patients can be made. A demonstration of use of the proposed method is given for breast cancer patients.

AB - The TNM (Tumor, Lymph Node, Metastasis) is a widely used staging system for predicting the outcome of cancer patients. However, the TNM is not accurate in prediction, partially due to the fact of deficient staging within and between stages. Based on the availability of large cancer patient datasets, there is a need to expand the TNM. In this paper, we present a general clustering-based approach to accomplish this task of expansion. This approach admits multiple factors. One major advantage of the approach is that patients within each generated group are homogeneous in terms of survival, so that a more accurate prediction of outcome of patients can be made. A demonstration of use of the proposed method is given for breast cancer patients.

KW - Breast cancer

KW - Clustering

KW - Survival curve

KW - TNM

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BT - Proceedings - 6th International Conference on Machine Learning and Applications, ICMLA 2007

T2 - 6th International Conference on Machine Learning and Applications, ICMLA 2007

Y2 - 13 December 2007 through 15 December 2007

ER -

A clustering-based approach to predict outcome in cancer patients

Abstract

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Conference

Keywords

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