Semantic information extracting system for classification of radiological reports in radiology information system (RIS)

Liehang Shi; Tonghui Ling; Jianguo Zhang

doi:10.1117/12.2216183

25 March 2016 Semantic information extracting system for classification of radiological reports in radiology information system (RIS)

Liehang Shi, Tonghui Ling, Jianguo Zhang

Author Affiliations +

Proceedings Volume 9789, Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations; 97890T (2016) https://doi.org/10.1117/12.2216183
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

Radiologists currently use a variety of terminologies and standards in most hospitals in China, and even there are multiple terminologies being used for different sections in one department. In this presentation, we introduce a medical semantic comprehension system (MedSCS) to extract semantic information about clinical findings and conclusion from free text radiology reports so that the reports can be classified correctly based on medical terms indexing standards such as Radlex or SONMED-CT. Our system (MedSCS) is based on both rule-based methods and statistics-based methods which improve the performance and the scalability of MedSCS. In order to evaluate the over all of the system and measure the accuracy of the outcomes, we developed computation methods to calculate the parameters of precision rate, recall rate, F-score and exact confidence interval.

Citation Download Citation

Liehang Shi, Tonghui Ling, and Jianguo Zhang "Semantic information extracting system for classification of radiological reports in radiology information system (RIS)", Proc. SPIE 9789, Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations, 97890T (25 March 2016); https://doi.org/10.1117/12.2216183

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