Identifying and Clustering Relevant Terms in Clinical Records Using Unsupervised Methods

Borbála Siklósi, Attila Novák. Identifying and Clustering Relevant Terms in Clinical Records Using Unsupervised Methods. In Laurent Besacier, Adrian Horia Dediu, Carlos Martín-Vide, editors, Statistical Language and Speech Processing - Second International Conference, SLSP 2014, Grenoble, France, October 14-16, 2014, Proceedings. Volume 8791 of Lecture Notes in Computer Science, pages 233-243, Springer, 2014. [doi]

Abstract

Abstract is missing.