Raquel A Fabreti-Oliveira, Evaldo Nascimento, Luiz Henrique de Melo Santos, Marina Ribeiro de Oliveira Santos, Adriano Alonso Veloso
Predicting kidney allograft survival with explainable machine learning
Transplant immunology
article reviews mechanics conventional piecewise growth models demonstrate unique affordances technique examining nature predictors childrens early literacy learning transition preschool first grade using nationally representative family child experiences survey faces data set 1997 cohort authors show piecewise models revealed discrete contributions child family classroom experiences childrens literacy skills within particular years whereas conventional models considered whole 3year trajectory change single outcome revealed fewer nuanced contributions