A Method of Automatic Annotation for Medical Record Text Based on Latent Dirichlet Allocation

DOI

10.2991/icectt-15.2015.58How to use a DOI?

Keywords

medical record text; semantic analysis; Latent Dirichlet Allocation; BM25

Abstract

With the rapid development of medical information, medical data, especially medical record text, are difficult to intelligent analyses, because these data have loose grammar structure. Latent semantic analysis technology in the field of text mining in recent years made extensive research and application, and Latent Dirichlet Allocation(LDA), put forward by Blei, is a method to solve those difficulties. This paper proposed an improved LDA based on BM25 mixture weights method to analyze Chinese medical record text and had a good performance.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xinyu Jin
AU  - Qiliang Jin
AU  - Yuze Li
PY  - 2015/11
DA  - 2015/11
TI  - A Method of Automatic Annotation for Medical Record Text Based on Latent Dirichlet Allocation
BT  - Proceedings of the 2015 International Conference on Electromechanical Control Technology and Transportation
PB  - Atlantis Press
SP  - 305
EP  - 308
SN  - 2352-5401
UR  - https://doi.org/10.2991/icectt-15.2015.58
DO  - 10.2991/icectt-15.2015.58
ID  - Jin2015/11
ER  -