Invention Grant
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
- Patent Title: Algorithms to predict clinical response, adherence, and shunting with thiopurines
- Patent Title (中): 用硫嘌呤预测临床反应，依从性和分流的算法
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Application No.: US11804366Application Date: 2007-05-18
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Publication No.: US08126690B2Publication Date: 2012-02-28
- Inventor: Peter Higgins , Ji Zhu , Akbar Waljee , Sijian Wang , Joel Joyce
- Applicant: Peter Higgins , Ji Zhu , Akbar Waljee , Sijian Wang , Joel Joyce
- Applicant Address: US MI Ann Arbor
- Assignee: The Regents of the University of Michigan
- Current Assignee: The Regents of the University of Michigan
- Current Assignee Address: US MI Ann Arbor
- Agency: Marshall, Gerstein & Borun LLP
- Main IPC: G06G7/58
- IPC: G06G7/58 ; G01N33/48
Abstract:
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.
Public/Granted literature
- US20080288227A1 Algorithms to predict clinical response, adherence, and shunting with thiopuriness Public/Granted day:2008-11-20
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