Paper: FFTM: A Fuzzy Feature Transformation Method for Medical Documents

ACL ID W14-3419
Title FFTM: A Fuzzy Feature Transformation Method for Medical Documents
Venue Proceedings of the BioNLP Shared Task 2013 Workshop
Session
Year 2014
Authors

The vast array of medical text data repre- sents a valuable resource that can be an- alyzed to advance the state of the art in medicine. Currently, text mining meth- ods are being used to analyze medical re- search and clinical text data. Some of the main challenges in text analysis are high dimensionality and noisy data. There is a need to develop novel feature transforma- tion methods that help reduce the dimen- sionality of data and improve the perfor- mance of machine learning algorithms. In this paper we present a feature transfor- mation method named FFTM. We illus- trate the efficacy of our method using lo- cal term weighting, global term weighting, and Fuzzy clustering methods and show that the quality of text analysis in medical text documents can be improved. We com- pare FFTM wi...