title: A systematic review of predictive models for asthma development in children.
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.
authors.affiliation: Department of Biomedical Informatics, University of Utah, Suite 140, 421 Wakara Way, Salt Lake City, UT, 84108, USA. gang.luo@utah.edu.
authors.forename: Gang
authors.initials: G
authors.lastname: Luo
authors.affiliation: Department of Pediatrics, University of Utah, 100 N Mario Capecchi Drive, Salt Lake City, UT, 84113, USA.
authors.forename: Flory L
authors.initials: FL
authors.lastname: Nkoy
authors.affiliation: Department of Pediatrics, University of Utah, 100 N Mario Capecchi Drive, Salt Lake City, UT, 84113, USA.
authors.forename: Bryan L
authors.initials: BL
authors.lastname: Stone
authors.affiliation: Spencer S. Eccles Health Sciences Library, 10 N 1900 E, Salt Lake City, UT, 84112, USA.
authors.forename: Darell
authors.initials: D
authors.lastname: Schmick
authors.affiliation: Department of Pediatrics, University of Utah, 100 N Mario Capecchi Drive, Salt Lake City, UT, 84113, USA.
authors.forename: Michael D
authors.initials: MD
authors.lastname: Johnson
mesh_terms: D001249:Asthma; D002648:Child; D006801:Humans; D008962:Models, Theoretical