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Article

Boosting power for clinical trials using classifiers based on multiple biomarkers.

Neurobiology of aging - 1 Aug 2010

Kohannim Omid, Hua Xue, Hibar Derrek P, Lee Suh, Chou Yi-Yu, Toga Arthur W, Jack Clifford R, Weiner Michael W, Thompson Paul M

Abstract excerpt

Machine learning methods pool diverse information to perform computer-assisted diagnosis and predict future clinical decline. We introduce a machine learning method to boost power in clinical trials. We created a Support Vector Machine algorithm that combines brain imaging and other biomarkers to classify 737 Alzheimer's disease Neuroimaging initiative (ADNI) subjects as having Alzheimer's disease (AD), mild...

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Identifiers

PMID: 20541286
DOI: 10.1016/j.neurobiolaging.2010.04.022
PMCID: PMC2903199

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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