An ensemble prognostic model for colorectal cancer.

Colorectal cancer can be grouped into Dukes A, B, C, and D stages based on its developments. Generally speaking, more advanced patients have poorer prognosis. To integrate progression stage prediction systems with recurrence prediction systems, we proposed an ensemble prognostic model for colorectal...

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Autores principales:	Bi-Qing Li, Tao Huang, Jian Zhang, Ning Zhang, Guo-Hua Huang, Lei Liu, Yu-Dong Cai
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4a587ac25182440aa4e0e9c60b6c0dc3
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id	oai:doaj.org-article:4a587ac25182440aa4e0e9c60b6c0dc3
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spelling	oai:doaj.org-article:4a587ac25182440aa4e0e9c60b6c0dc32021-11-18T07:46:58ZAn ensemble prognostic model for colorectal cancer.1932-620310.1371/journal.pone.0063494https://doaj.org/article/4a587ac25182440aa4e0e9c60b6c0dc32013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23658834/?tool=EBIhttps://doaj.org/toc/1932-6203Colorectal cancer can be grouped into Dukes A, B, C, and D stages based on its developments. Generally speaking, more advanced patients have poorer prognosis. To integrate progression stage prediction systems with recurrence prediction systems, we proposed an ensemble prognostic model for colorectal cancer. In this model, each patient was assigned a most possible stage and a most possible recurrence status. If a patient was predicted to be recurrence patient in advanced stage, he would be classified into high risk group. The ensemble model considered both progression stages and recurrence status. High risk patients and low risk patients predicted by the ensemble model had a significant different disease free survival (log-rank test p-value, 0.0016) and disease specific survival (log-rank test p-value, 0.0041). The ensemble model can better distinguish the high risk and low risk patients than the stage prediction model and the recurrence prediction model alone. This method could be applied to the studies of other diseases and it could significantly improve the prediction performance by ensembling heterogeneous information.Bi-Qing LiTao HuangJian ZhangNing ZhangGuo-Hua HuangLei LiuYu-Dong CaiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 5, p e63494 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Bi-Qing Li Tao Huang Jian Zhang Ning Zhang Guo-Hua Huang Lei Liu Yu-Dong Cai An ensemble prognostic model for colorectal cancer.
description	Colorectal cancer can be grouped into Dukes A, B, C, and D stages based on its developments. Generally speaking, more advanced patients have poorer prognosis. To integrate progression stage prediction systems with recurrence prediction systems, we proposed an ensemble prognostic model for colorectal cancer. In this model, each patient was assigned a most possible stage and a most possible recurrence status. If a patient was predicted to be recurrence patient in advanced stage, he would be classified into high risk group. The ensemble model considered both progression stages and recurrence status. High risk patients and low risk patients predicted by the ensemble model had a significant different disease free survival (log-rank test p-value, 0.0016) and disease specific survival (log-rank test p-value, 0.0041). The ensemble model can better distinguish the high risk and low risk patients than the stage prediction model and the recurrence prediction model alone. This method could be applied to the studies of other diseases and it could significantly improve the prediction performance by ensembling heterogeneous information.
format	article
author	Bi-Qing Li Tao Huang Jian Zhang Ning Zhang Guo-Hua Huang Lei Liu Yu-Dong Cai
author_facet	Bi-Qing Li Tao Huang Jian Zhang Ning Zhang Guo-Hua Huang Lei Liu Yu-Dong Cai
author_sort	Bi-Qing Li
title	An ensemble prognostic model for colorectal cancer.
title_short	An ensemble prognostic model for colorectal cancer.
title_full	An ensemble prognostic model for colorectal cancer.
title_fullStr	An ensemble prognostic model for colorectal cancer.
title_full_unstemmed	An ensemble prognostic model for colorectal cancer.
title_sort	ensemble prognostic model for colorectal cancer.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/4a587ac25182440aa4e0e9c60b6c0dc3
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An ensemble prognostic model for colorectal cancer.

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