临床文本中复杂时间表达的知识表示与推理

IF 1.3 3区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Data Intelligence Pub Date : 2022-07-01 DOI:10.1162/dint_a_00152
Danyang Hu, Meng Wang, Feng Gao, Fangfang Xu, J. Gu
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引用次数: 2

摘要

时间信息在医疗记录和其他临床文本中普遍存在且至关重要,因为它描述了医疗状况的发展过程,对临床决策至关重要。然而,为临床文本中的各种时间表达提供一个整体的知识表示和推理框架是具有挑战性的。为了捕获临床文本中复杂的时间语义,我们提出了一种新的临床时间本体(CTO)作为OWL框架的扩展。更具体地说,我们确定了临床文本中8个与时间相关的问题,并创建了11个核心时间类,以概念化临床时间的模糊时间、循环时间、不规则时间、否定和其他复杂方面。然后,我们扩展了Allen’s和TEO’s时间关系,定义了复杂时间和简单时间之间的关系概念描述。同时,我们提供了复杂时间和复杂时间关系的公式化和图形化表示。我们使用现实世界的医疗保健数据集对CTO的表达性和可用性进行了实证研究。最后,实验结果表明,CTO可以忠实地表示和推理超过93%的时间表达式,并且可以覆盖临床领域中更广泛的与时间相关的类别。
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Knowledge Representation and Reasoning for Complex Time Expression in Clinical Text
Abstract Temporal information is pervasive and crucial in medical records and other clinical text, as it formulates the development process of medical conditions and is vital for clinical decision making. However, providing a holistic knowledge representation and reasoning framework for various time expressions in the clinical text is challenging. In order to capture complex temporal semantics in clinical text, we propose a novel Clinical Time Ontology (CTO) as an extension from OWL framework. More specifically, we identified eight time-related problems in clinical text and created 11 core temporal classes to conceptualize the fuzzy time, cyclic time, irregular time, negations and other complex aspects of clinical time. Then, we extended Allen's and TEO's temporal relations and defined the relation concept description between complex and simple time. Simultaneously, we provided a formulaic and graphical presentation of complex time and complex time relationships. We carried out empirical study on the expressiveness and usability of CTO using real-world healthcare datasets. Finally, experiment results demonstrate that CTO could faithfully represent and reason over 93% of the temporal expressions, and it can cover a wider range of time-related classes in clinical domain.
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来源期刊
Data Intelligence
Data Intelligence COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
6.50
自引率
15.40%
发文量
40
审稿时长
8 weeks
期刊最新文献
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