Research Article
Application of Clustering Algorithms to Group Medical Documents
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 178 - Issue 42 |
| Published: Aug 2019 |
| Authors: Ravi Seeta Sireesha, P. S. Avadhani |
10.5120/ijca2019919310
|
Ravi Seeta Sireesha, P. S. Avadhani . Application of Clustering Algorithms to Group Medical Documents. International Journal of Computer Applications. 178, 42 (Aug 2019), 28-31. DOI=10.5120/ijca2019919310
@article{ 10.5120/ijca2019919310,
author = { Ravi Seeta Sireesha,P. S. Avadhani },
title = { Application of Clustering Algorithms to Group Medical Documents },
journal = { International Journal of Computer Applications },
year = { 2019 },
volume = { 178 },
number = { 42 },
pages = { 28-31 },
doi = { 10.5120/ijca2019919310 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2019
%A Ravi Seeta Sireesha
%A P. S. Avadhani
%T Application of Clustering Algorithms to Group Medical Documents%T
%J International Journal of Computer Applications
%V 178
%N 42
%P 28-31
%R 10.5120/ijca2019919310
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Medical documents contain valuable information about medication and symptoms, which help in improving health care. Recently, large volumes of medical documents are generated by electronic health record systems. These medical documents are unstructured or semi-structured from which extraction of useful information is a difficult task. Application of document clustering techniques is an efficient way for navigation and summarization of documents and very important for many natural language technologies [1]. Various partitional and agglomerative clustering techniques are applied in order to cluster the medical documents for grouping them into meaningful clusters.
References
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