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Article

The application of naive Bayes model averaging to predict Alzheimer's disease from genome-wide data.

Journal of the American Medical Informatics Association : JAMIA - 1 Jan 2000

Wei Wei, Visweswaran Shyam, Cooper Gregory F

Abstract excerpt

OBJECTIVE: Predicting patient outcomes from genome-wide measurements holds significant promise for improving clinical care. The large number of measurements (eg, single nucleotide polymorphisms (SNPs)), however, makes this task computationally challenging. This paper evaluates the performance of an algorithm that predicts patient outcomes from genome-wide data by efficiently model averaging over an exponential...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 21672907
DOI: 10.1136/amiajnl-2011-000101
PMCID: PMC3128400

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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