A systematic review of predictive models for asthma development in children
| Autor: | Michael D. L. Johnson, Darell Schmick, Gang Luo, Flory L. Nkoy, Bryan L. Stone |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
medicine.medical_specialty
Scopus MEDLINE Health Informatics CINAHL Cochrane Library Asthma development Health informatics Machine learning medicine Humans Child Asthma business.industry Health Policy Gold standard Models Theoretical medicine.disease respiratory tract diseases Computer Science Applications Data extraction Predictive model Family medicine Physical therapy Bronchiolitis business Research Article |
| Zdroj: | BMC Medical Informatics and Decision Making |
| ISSN: | 1472-6947 |
| Popis: | 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. Electronic supplementary material The online version of this article (doi:10.1186/s12911-015-0224-9) contains supplementary material, which is available to authorized users. |
| Databáze: | OpenAIRE |
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