Prediction models for childhood asthma: A systematic review.
Dilini M KothalawalaLatha KadalayilVeronique B N WeissMohammed Aref KyyalySyed Hasan ArshadJohn W HollowayFaisal I RezwanPublished in: Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology (2020)
Existing prediction models demonstrated moderate predictive performance, often with modest generalizability when independently validated. Limitations of traditional methods have shown to impair predictive accuracy and resolution. Exploration of novel methods such as machine learning approaches may address these limitations for future school-age asthma prediction.