Prodromal clinical, demographic, and socio-ecological correlates of asthma in adults: A 10-year statewide big data multi-domain analysis.

CONCLUSIONS: In this large statewide study using a machine learning approach, we found that a multi-domain approach with demographics, clinical, and socio-ecological variables best predicted an asthma diagnosis. Future work should focus on integrating machine learning-generated predictive models into clinical practice to improve early detection of those common respiratory diseases. PMID: 31288571 [PubMed - as supplied by publisher]
Source: Journal of Asthma - Category: Respiratory Medicine Tags: J Asthma Source Type: research