Knowledge Representation and Reasoning for Complex Time Expression in Clinical Text

作     者：Danyang Hu Meng Wang Feng Gao Fangfang Xu Jinguang Gu 

作者机构：School of Computer Science and TechnologyWuhan University of Science and TechnologyWuhan 430065China Key Laboratory of Rich-Media Knowledge Organization and Service of Digital Publishing ContentNational Press and Publication Administration of the People’s Republic of ChinaBeijing 10038China Institute of Big Data Science and EngineeringWuhan University of Science and TechnologyWuhan 430065China 

出 版 物：《Data Intelligence》 (数据智能（英文）)

年 卷 期：2022年第4卷第3期

页      面：573-598页

核心收录：

学科分类：081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 10[医学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China(No.U1836118) the Open Fund of Key Laboratory of Content Organization and Knowledge Services for Rich Media Digital Publishing(ZD2021-11/01) the Natural Science Foundation of Hubei Province educational Committee(B2019009) 

主　　题：Clinical text Temporal ontology Temporal relations OWL Negation of temporal relation 

摘      要：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 ***,providing a holistic knowledge representation and reasoning framework for various time expressions in the clinical text is *** order to capture complex temporal semantics in clinical text,we propose a novel Clinical Time Ontology(CTO)as an extension from OWL *** specifically,we identified eight timerelated 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 ***,we extended Allen’s and TEO’s temporal relations and defined the relation concept description between complex and simple ***,we provided a formulaic and graphical presentation of complex time and complex time *** carried out empirical study on the expressiveness and usability of CTO using real-world healthcare ***,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.