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Approaches to text mining for clinical medical records

9 years 1 months ago
Approaches to text mining for clinical medical records
Clinical medical records contain a wealth of information, largely in free-text form. Means to extract structured information from free-text records is an important research endeavor. In this paper, we describe a MEDical Information Extraction (MedIE) system that extracts and mines a variety of patient information with breast complaints from free-text clinical records. MedIE is a part of medical text mining project being conducted in Drexel University. Three approaches are proposed to solve different IE tasks and very good performance (precision and recall) was achieved. A graph-based approach which uses the parsing result of link-grammar parser was invented for relation extraction; high accuracy was achieved. A simple but efficient ontology-based approach was adopted to extract medical terms of interest. Finally, an NLP-based feature extraction method coupled with an ID3-based decision tree was used to perform text classification. Categories and Subject Descriptors I.2.7 [Natural Lang...
Xiaohua Zhou, Hyoil Han, Isaac Chankai, Ann Prestr
Added 14 Jun 2010
Updated 14 Jun 2010
Type Conference
Year 2006
Where SAC
Authors Xiaohua Zhou, Hyoil Han, Isaac Chankai, Ann Prestrud, Ari D. Brooks
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