Algorithms to predict clinical response, adherence, and shunting with thiopuriness

摘要

It is a kind of to determine that validity thiopurine treatment inflammatory bowel disease (IBD) patient is classified using CART, boosted tree, random forest from complete blood count and blood chemistry panel generation machine learning algorithm using variable setting, RuleFit and/or logistic regression analysis.