Predicting Clinical Outcomes in Infants With Cystic Fibrosis From Stool Microbiota using Random Forest Algorithms
R. Valls, T. H. Hampton, C. E. Price, K. Barrack, G. O'Toole, M. Coker, J. C. Madan
This paper uses random forest algorithms to predict clinical outcomes in children with cystic fibrosis based on stool microbiota composition.
bioRxiv · Aug 6, 2022 · PreprintMicrobiology