Invention Grant
US07783582B2 Bayesian-network-based method and system for detection of clinical-laboratory errors using synthetic errors
有权
基于贝叶斯网络的方法和系统,用于使用合成错误检测临床实验室错误
- Patent Title: Bayesian-network-based method and system for detection of clinical-laboratory errors using synthetic errors
- Patent Title (中): 基于贝叶斯网络的方法和系统,用于使用合成错误检测临床实验室错误
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Application No.: US11827449Application Date: 2007-07-10
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Publication No.: US07783582B2Publication Date: 2010-08-24
- Inventor: Jason N. Doctor , Gregory B. Strylewicz
- Applicant: Jason N. Doctor , Gregory B. Strylewicz
- Applicant Address: US WA Seattle
- Assignee: University of Washington
- Current Assignee: University of Washington
- Current Assignee Address: US WA Seattle
- Agency: Olympic Patent Works PLLC
- Main IPC: G06F17/20
- IPC: G06F17/20

Abstract:
Embodiments of the present invention include methods and systems for analyzing clinical-laboratory results and data in order to detect erroneous clinical-laboratory results. Embodiments of the present invention employ Bayesian networks and modified Bayesian networks that are constructed using cleaned clinical-laboratory results into which various types of synthetic errors have been introduced and that are optimized using different, cleaned clinical-laboratory results into which synthetic errors have been introduced.
Public/Granted literature
- US20080222058A1 Bayesian-network-based method and system for detection of clinical-laboratory errors Public/Granted day:2008-09-11
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