发明授权
US08126690B2 Algorithms to predict clinical response, adherence, and shunting with thiopurines
有权
用硫嘌呤预测临床反应,依从性和分流的算法
- 专利标题: Algorithms to predict clinical response, adherence, and shunting with thiopurines
- 专利标题(中): 用硫嘌呤预测临床反应,依从性和分流的算法
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申请号: US11804366申请日: 2007-05-18
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公开(公告)号: US08126690B2公开(公告)日: 2012-02-28
- 发明人: Peter Higgins , Ji Zhu , Akbar Waljee , Sijian Wang , Joel Joyce
- 申请人: Peter Higgins , Ji Zhu , Akbar Waljee , Sijian Wang , Joel Joyce
- 申请人地址: US MI Ann Arbor
- 专利权人: The Regents of the University of Michigan
- 当前专利权人: The Regents of the University of Michigan
- 当前专利权人地址: US MI Ann Arbor
- 代理机构: Marshall, Gerstein & Borun LLP
- 主分类号: G06G7/58
- IPC分类号: G06G7/58 ; G01N33/48
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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