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BMC Medical Informatics and Decision Making
Published in: BMC Medical Informatics and Decision Making 1/2015

Open Access 01-12-2015 | Research article

A systematic review of predictive models for asthma development in children

Authors: Gang Luo, Flory L. Nkoy, Bryan L. Stone, Darell Schmick, Michael D. Johnson

Published in: BMC Medical Informatics and Decision Making | Issue 1/2015

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Abstract

Background

Asthma is the most common pediatric chronic disease affecting 9.6 % of American children. Delay in asthma diagnosis is prevalent, resulting in suboptimal asthma management. To help avoid delay in asthma diagnosis and advance asthma prevention research, researchers have proposed various models to predict asthma development in children. This paper reviews these models.

Methods

A systematic review was conducted through searching in PubMed, EMBASE, CINAHL, Scopus, the Cochrane Library, the ACM Digital Library, IEEE Xplore, and OpenGrey up to June 3, 2015. The literature on predictive models for asthma development in children was retrieved, with search results limited to human subjects and children (birth to 18 years). Two independent reviewers screened the literature, performed data extraction, and assessed article quality.

Results

The literature search returned 13,101 references in total. After manual review, 32 of these references were determined to be relevant and are discussed in the paper. We identify several limitations of existing predictive models for asthma development in children, and provide preliminary thoughts on how to address these limitations.

Conclusions

Existing predictive models for asthma development in children have inadequate accuracy. Efforts to improve these models’ performance are needed, but are limited by a lack of a gold standard for asthma development in children.
Appendix
Available only for authorised users
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Metadata
Title
A systematic review of predictive models for asthma development in children
Authors
Gang Luo
Flory L. Nkoy
Bryan L. Stone
Darell Schmick
Michael D. Johnson
Publication date
01-12-2015
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2015
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/s12911-015-0224-9

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