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SYSTEMS AND METHODS FOR REFACTORING A KNOWLEDGE MODEL TO INCREASE DOMAIN KNOWLEDGE AND RECONCILE ELECTRONIC RECORDS

机译:重构知识模型以增加域知识和协调性电子记录的系统和方法

摘要

Methods, systems, and computer-readable media are disclosed herein that employ a contextually intelligent framework. In accordance with embodiments, a knowledge model having rules, axioms, and a domain ontology is evaluated to determine rules that are redundant to other rules and axioms, to determines those rules thresholds that may be refactored to generate composite rules and reduce the overall quantity of rules in the knowledge model, and to generate and add new concepts as axioms to the domain ontology as determined through refactoring. Methods, systems, and computer-readable media are disclosed herein that use the refactored and improved knowledge model to reconcile information currently stored in one system with information imported from a plurality of diverse systems, in order to generate recommendations that promote continuity of care in clinical settings.
机译:本文公开了采用上下文智能框架的方法,系统和计算机可读介质。根据实施例,具有规则,公理和域本体的知识模型被评估以确定对于其他规则和公理是多余的规则,以确定可以重构以产生复合规则并减少总数量的那些规则阈值。知识模型中的规则,并通过重构确定生成新概念并将其作为公理添加到领域本体。本文公开了使用重构和改进的知识模型来将当前存储在一个系统中的信息与从多个不同系统中导入的信息进行调和的方法,系统和计算机可读介质,以便生成促进临床护理连续性的建议。设置。

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