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Article

Artificial neural network approach for selection of susceptible single nucleotide polymorphisms and construction of prediction model on childhood allergic asthma.

BMC bioinformatics - 1 Sept 2004

Tomita Yasuyuki, Tomida Shuta, Hasegawa Yuko, Suzuki Yoichi, Shirakawa Taro, Kobayashi Takeshi, Honda Hiroyuki

Abstract excerpt

BACKGROUND: Screening of various gene markers such as single nucleotide polymorphism (SNP) and correlation between these markers and development of multifactorial disease have previously been studied. Here, we propose a susceptible marker-selectable artificial neural network (ANN) for predicting development of allergic disease. RESULTS: To predict development of childhood allergic asthma (CAA) and select...

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Identifiers

PMID: 15339344
DOI: 10.1186/1471-2105-5-120
PMCID: PMC518959

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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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