Clinical text classification under the Open and Closed Topic Assumptions
- 1 January 2009
- journal article
- Published by Inderscience Publishers in International Journal of Data Mining and Bioinformatics
- Vol. 3 (3) , 299-313
- https://doi.org/10.1504/ijdmb.2009.026703
Abstract
This paper investigates multi-topic aspects in automatic classification of clinical free text in comparison with general text. In this paper, we facilitate two different views on multi-topics: the Closed Topic Assumption (CTA) and the Open Topic Assumption (OTA). Experimental results show that the characteristics of multi-topic assignments in the Computational Medicine Centre (CMC) Medical NLP Challenge Data is strongly OTA-oriented but general text Reuters-21578 is characterised in the middle of the OTA and CTA spectrum.Keywords
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