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A proposed SNOMED CT ontology-based encoding methodology for diabetes diagnosis case-base

机译：一种基于SNOMED CT本体的糖尿病诊断案例编码方法

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Domain knowledge ontology supports the implementation of intelligent Case Based Reasoning (CBR) systems. Standardized terminologies support efficient indexing and processing of patient data. It is an essential element for the implementation of knowledge-based clinical decision support by exploiting pre-defined semantic relationships, both hierarchical and non-hierarchical in nature. Systemized Nomenclature of Medicine-Clinical Terms (SNOMED CT) is the most comprehensive and complete terminology. This paper proposes an encoding methodology for clinical data using SNOMED CT. A case study for a diabetes diagnosis data set will be tested where SNOMED CT provides a concept coverage of ~75% for its clinical terms. Custom codes will be provided for uncovered terms. The encoded data set is derived from electronic health record database, and it represents a case base knowledge. The collected concept IDs will be used to build a domain ontology for diabetes diagnosis CBR. This ontology contains 550 concept IDs. The encoded case base and the domain ontology can be used to build a knowledge intensive CBR.

机译：领域知识本体支持智能的基于案例的推理（CBR）系统的实现。标准化的术语支持对患者数据进行高效索引和处理。通过利用预定义的语义关系（本质上是分层的和非分层的），它是实现基于知识的临床决策支持的必要元素。系统的医学临床术语命名法（SNOMED CT）是最全面，最完整的术语。本文提出了一种使用SNOMED CT的临床数据编码方法。将对糖尿病诊断数据集的案例研究进行测试，其中SNOMED CT的临床术语覆盖率约为75％。将为未发现的术语提供自定义代码。编码数据集来自电子病历数据库，它表示基于案例的知识。收集的概念ID将用于构建糖尿病诊断CBR的领域本体。该本体包含550个概念ID。编码的案例库和领域本体可用于构建知识密集型CBR。

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《》|2014年|184-191|共8页
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El-Sappagh S.; Elmogy M.; Riad A.M.; Zaghloul H.; Badria F.;
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case-based reasoning; decision support systems; electronic health records; indexing; knowledge based systems; medical diagnostic computing; ontologies (artificial intelligence); patient diagnosis; SNOMED CT ontology-based encoding methodology; Systemized Nomenclature of Medicine Clinical Terms; clinical data encoding methodology; diabetes diagnosis case-base knowledge; domain knowledge ontology; electronic health record database; intelligent case based reasoning systems; knowledge intensive CBR; knowledge-based clinical decision support; patient data indexing; patient data processing; Databases; Diabetes; Encoding; Ontologies; Semantics; Tumors; Clinical decision support system (CDSS); SNOMED CT Coding; case based reasoning (CBR); diabetes diagnosis; ontology; semantic data retrieval;

机译：基于案例的推理;决策支持系统;电子病历;索引;基于知识的系统;医学诊断计算;本体（人工智能）;患者诊断;基于SNOMED CT本体的编码方法;医学术语临床术语的系统化;临床数据编码方法论;糖尿病诊断基于案例的知识;领域知识本体;电子病历数据库;基于智能案例的推理系统;知识密集型CBR;基于知识的临床决策支持;患者数据索引;患者数据处理;数据库;糖尿病;编码;本体;语义;肿瘤;临床决策支持系统（CDSS）; SNOMED CT编码;基于案例的推理（CBR）;糖尿病诊断;本体论;语义数据检索;

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A proposed SNOMED CT ontology-based encoding methodology for diabetes diagnosis case-base

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