ALGORITHMS TO PREDICT CLINICAL RESPONSE, ADHERENCE, AND SHUNTING WITH THIOPURINES

摘要

A method of using a variable set from complete blood counts and blood chemistry panels to generate a machine learned algorithm for determining the effectiveness of thiopurine treatment on inflammatory bowel disease (IBD) patients using CART, boosted trees, random forest classification, RuleFit and/or logistic regression analysis.