Title :
Text Mining in Radiology Reports
Author :
Gong, Tianxia ; Tan, Chew Lim ; Leong, Tze Yun ; Lee, Cheng Kiang ; Pang, Boon Chuan ; Lim, C. C Tchoyoson ; Tian, Qi ; Tang, Suisheng ; Zhang, Zhuo
Author_Institution :
Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore
Abstract :
Medical text mining has gained increasing interest in recent years. Radiology reports contain rich information describing radiologistpsilas observations on the patientpsilas medical conditions in the associated medical images. However, as most reports are in free text format, the valuable information contained in those reports cannot be easily accessed and used, unless proper text mining has been applied. In this paper, we propose a text mining system to extract and use the information in radiology reports. The system consists of three main modules: a medical finding extractor, a report and image retriever, and a text-assisted image feature extractor. In evaluation, the overall precision and recall for medical finding extraction are 95.5% and 87.9% respectively, and for all modifiers of the medical findings 88.2% and 82.8% respectively. The overall result of report and image retrieval module and text-assisted image feature extraction module is satisfactory to radiologists.
Keywords :
data mining; document image processing; feature extraction; medical information systems; text analysis; associated medical images; free text format; image retrieval module; image retriever; medical finding extraction; medical finding extractor; medical text mining; patient medical conditions; radiology reports; text mining system; text-assisted image feature extraction module; text-assisted image feature extractor; Biomedical imaging; Data mining; Feature extraction; Hospitals; Image databases; Image retrieval; Information retrieval; Medical conditions; Radiology; Text mining; Medical Informatics; Text Mining;
Conference_Titel :
Data Mining, 2008. ICDM '08. Eighth IEEE International Conference on
Conference_Location :
Pisa
Print_ISBN :
978-0-7695-3502-9
DOI :
10.1109/ICDM.2008.150