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Algorithms to predict clinical response, adherence, and shunting with thiopurines
Algorithms to predict clinical response, adherence, and shunting with thiopurines
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机译:用硫嘌呤预测临床反应,依从性和分流的算法
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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.
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