A systematic review of predictive models for asthma development in children

• Published in: BMC medical informatics and decision making Vol. 15; no. 1; p. 99
• Main Authors: Luo, Gang, Nkoy, Flory L., Stone, Bryan L., Schmick, Darell, Johnson, Michael D.
• Format: Journal Article
• Language: English
• Published: England BioMed Central 28.11.2015
• Subjects: Absenteeism; Asthma; Business metrics; Caregivers; Child; Children & youth; Chronic illnesses; Citation management software; Digital libraries; Disease prevention; Humans; Medical libraries; Models, Theoretical; Pediatrics; Quality of life; Systematic review

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 pre...