Review On Machine Learning Approach for Detecting Disease-Treatment Relations in Short Texts

Authors(2) :-Alapati. Janardhana Rao, Reddy Srinivasa Rao

The Machine Learning (ML) field has gained its momentum in almost any domain of research and just recently has become a reliable tool in the medical domain. Empirical domain of automatic learning is used in tasks such as medical decision support, protein-protein interaction, medical imaging, and extraction of medical knowledge. ML is envisioned as a tool by which computer-based systems can be integrated in the healthcare field in order to get a better and more efficient medical care ML-based methodology for building an application that is capable of identifying and disseminating healthcare in-formation. Due to advancements in medical domain automatic learning has gained popularity in the fields of medical decision support, complete health management and extraction of medical knowledge. The main objective of this work is to show what Natural Language Processing (NLP) and Machine Learning (ML) techniques used for representation of information and what classification algorithms are suitable for identifying and classifying relevant medical information in short texts. This paper describes how ML and NLP can be used for extracting knowledge from published medical papers. It acknowledges the fact those tools capable of identifying reliable information in the medical domain stand as building blocks for a healthcare system that is up-to-date with the latest discoveries. Our research focus on the diseases and treatment information and the relation that exists between these two entities.

Authors and Affiliations

Alapati. Janardhana Rao
MCA Department, Vignan's Lara Institute of Technology and Science, Vadlamudi, Guntur, Andhra Pradesh, India
Reddy Srinivasa Rao

Healthcare, machine learning, natural language processing, Disease Treatment Extraction, Medline

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Publication Details

Published in : Volume 4 | Issue 2 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 122-129
Manuscript Number : CSEIT1833616
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Alapati. Janardhana Rao, Reddy Srinivasa Rao, "Review On Machine Learning Approach for Detecting Disease-Treatment Relations in Short Texts", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 2, pp.122-129, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833616

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