Ontology for Symptomatic Treatment of Multiple Sclerosis.

IF 2.3 Q3 MEDICAL INFORMATICS
Healthcare Informatics Research Pub Date : 2022-10-01 Epub Date: 2022-10-31 DOI:10.4258/hir.2022.28.4.332
Misagh Zahiri Esfahani, Maryam Ahmadi, Iman Adibi
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引用次数: 1

Abstract

Objectives: Symptomatic treatment is an essential component in the overall treatment of multiple sclerosis (MS). However, knowledge in this regard is confusing and scattered. Physicians also have challenges in choosing symptomatic treatment based on the patient's condition. To share, update, and reuse this knowledge, the aim of this study was to provide an ontology for MS symptomatic treatment.

Methods: The Symptomatic Treatment of Multiple Sclerosis Ontology (STMSO) was developed according to Ontology Development 101 and a guideline for developing good ontologies in the biomedical domain. We obtained knowledge and rules through a systematic review and entered this knowledge in the form of classes and subclasses in the ontology. We then mapped the ontology using the Basic Formal Ontology (BFO) and Ontology for General Medical Sciences (OGMS) as reference ontologies. The ontology was built using Protégé Editor in the Web Ontology Language format. Finally, an evaluation was done by experts using criterion-based approaches in terms of accuracy, clarity, consistency, and completeness.

Results: The knowledge extraction phase identified 110 articles related to the ontology in the form of 626 classes, 40 object properties, and 139 rules. Five general classes included "patient," "symptoms," "pharmacological treatment," "treatment plan," and "measurement index." The evaluation in terms of standards for biomedical ontology showed that STMSO was accurate, clear, consistent, and complete.

Conclusions: STMSO is the first comprehensive semantic representation of the symptomatic treatment of MS and provides a major step toward the development of intelligent clinical decision support systems for symptomatic MS treatment.

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多发性硬化症对症治疗本体论。
目的:对症治疗是多发性硬化症(MS)整体治疗的重要组成部分。然而,这方面的知识是混乱和分散的。医生在根据病人的病情选择对症治疗方面也面临挑战。为了共享、更新和重用这些知识,本研究的目的是为MS对症治疗提供一个本体。方法:根据本体开发101和生物医学领域良好本体开发指南开发多发性硬化症对症治疗本体(STMSO)。我们通过系统的复习获得知识和规则,并将这些知识以类和子类的形式输入到本体中。然后,我们使用基本形式本体(BFO)和普通医学科学本体(OGMS)作为参考本体来映射本体。该本体是使用proprot编辑器构建的,采用Web ontology Language格式。最后,由专家使用基于标准的方法对准确性、清晰度、一致性和完整性进行评估。结果:知识提取阶段共识别出本体相关文章110篇,共626个类,40个对象属性,139条规则。五大类包括“患者”、“症状”、“药物治疗”、“治疗计划”和“测量指标”。从生物医学本体标准方面评价,STMSO准确、清晰、一致、完整。结论:STMSO是MS对症治疗的第一个综合语义表征,为MS对症治疗的智能临床决策支持系统的开发提供了重要的一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Healthcare Informatics Research
Healthcare Informatics Research MEDICAL INFORMATICS-
CiteScore
4.90
自引率
6.90%
发文量
44
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