Algorithms to predict clinical response, adherence, and shunting with thiopurines
US8126690B2 · kind B2 · utility
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9Claims
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Key dates
| Filing date | May 18, 2007 |
| Grant date | Feb 28, 2012 |
| Priority date | — |
| Expiry date | Apr 14, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/20
- WIPO fieldMedical technology
- WIPO sectorInstruments
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.