A method for extracting knowledge from medical texts including numerical representation

Authors:
Kumiko Kiyoi;El-Sayed Atlam;Masao Fuketa;Tomoko Yoshinari;Jun-ichi Aoe
Affiliations:
Department of Information Science and Intelligent Systems, University of Tokushima, Tokushima 770-8506, Japan.;Department of Information Science and Intelligent Systems, University of Tokushima, Tokushima 770-8506, Japan.;Department of Information Science and Intelligent Systems, University of Tokushima, Tokushima 770-8506, Japan.;Department of Information Science and Intelligent Systems, University of Tokushima, Tokushima 770-8506, Japan.;Department of Information Science and Intelligent Systems, University of Tokushima, Tokushima 770-8506, Japan
Venue:
International Journal of Computer Applications in Technology
Year:
2008

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Abstract

In recent years, there has been a tremendous growth of onlinetext information related to digital libraries, medical diagnosticsystems, remote education, news sources and electronic commerce.Numeric information is very important to understand numbers intexts of medical opinions. This paper presents a method fordetermining not only numbers but also expressions of modificationto expand the range of corresponding numbers. The meaning ofsentences is often determined by the combination of numberexpressions and their object words. Therefore, the presented methodcategorises with each meaning of expressions of modification andrange expressions. According to experimental results for 948Computer Tomography (CT) findings, the precision and recall for theextraction of number expressions are 98.23% and 97.62%,respectively. Moreover, the accuracy for the extraction of objectwords is 90.22%.