Summarization from medical documents: a survey

被引:103
作者
Afantenos, S [1 ]
Karkaletsis, V
Stamatopoulos, P
机构
[1] NCSR Demokritos, Inst Informat & Telecommun, Software & Knowledge Engn Lab, GR-15310 Athens, Greece
[2] Univ Athens, Dept Informat, GR-15771 Athens, Greece
关键词
summarization from medical documents; single-document summarization; multi-document summarization; multi-media summarization; extractive summarization; abstractive summarization; cognitive summarization;
D O I
10.1016/j.artmed.2004.07.017
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Objective: The aim of this paper is to survey the recent work in medical documents summarization. Background: During the last decade, documents summarization got increasing attention by the Al research community. More recently it also attracted the interest of the medical research community as well, due to the enormous growth of information that is available to the physicians and researchers in medicine, through the large and growing number of published journals, conference proceedings, medical sites and portals on the World Wide Web, electronic medical records, etc. Methodology: This survey gives first a general background on documents summarization, presenting the factors that summarization depends upon, discussing evaluation issues and describing briefly the various types of summarization techniques. It then examines the characteristics of the medical domain through the different types of medical documents. Finally, it presents and discusses the summarization techniques used so far in the medical domain, referring to the corresponding systems and their characteristics. Discussion and conclusions: The paper discusses thoroughly the promising paths for future research in medical documents summarization. It mainly focuses on the issue of scaling to large collections of documents in various Languages and from different media, on personalization issues, on portability to new sub-domains, and on the integration of summarization technology in practical applications. (c) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:157 / 177
页数:21
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