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Early prediction of pediatric asthma in the Canadian Healthy Infant Longitudinal Development (CHILD) birth cohort using machine learning

Title: Early prediction of pediatric asthma in the Canadian Healthy Infant Longitudinal Development (CHILD) birth cohort using machine learning
Authors: He, PingAff1; Moraes, Theo J.Aff2; Dai, DarleneAff3; Reyna-Vargas, Myrtha E.Aff2; Dai, RuixueAff2; Mandhane, PiushAff4; Simons, ElinorAff5; Azad, Meghan B.Aff5; Hoskinson, CourtneyAff3, Aff6; Petersen, CharisseAff3; Del Bel, Kate L.Aff3; Turvey, Stuart E.Aff3; Subbarao, PadmajaAff2; Goldenberg, AnnaAff7, Aff8, Aff9, Aff10; Erdman, LaurenAff1, Aff7, Aff8, Aff9, Aff11, IDs41390023029882_cor15
Source: Pediatric Research: Official publication of the American Pediatric Society, the European Society for Paediatric Research and the Society for Pediatric Research. 95(7):1818-1825
Database: Springer Nature Journals