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Article

Selective voting in convex-hull ensembles improves classification accuracy.

Artificial intelligence in medicine - 1 Mar 2012

Kodell Ralph L, Zhang Chuanlei, Siegel Eric R, Nagarajan Radhakrishnan

Abstract excerpt

OBJECTIVE: Classification algorithms can be used to predict risks and responses of patients based on genomic and other high-dimensional data. While there is optimism for using these algorithms to improve the treatment of diseases, they have yet to demonstrate sufficient predictive ability for routine clinical practice. They generally classify all patients according to the same criteria, under an implicit...

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Identifiers

PMID: 22064044
DOI: 10.1016/j.artmed.2011.10.003
PMCID: PMC3666100

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