International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: September 2023

Volume 8 | Issue 9

Impact factor: 8.15

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner
Published Paper Details
Paper Title: Diagnose Most Desirable Treatment For Disease Using Machine Learning Approach In Relation To Short Text
Authors Name: Vijay Shrikisan Ingle , Amit Mishra , Dr. Shiv K Sahu
Unique Id: IJSDR1604021
Published In: Volume 1 Issue 4, April-2016
Abstract: This paper describe the Machine Learning techniques which is used to construct a computer system that can obey and learn from their experience. Machine learning can easily adapt into the healthcare analysis system in order to acquire perfect and best results. So using machine learning approach existing system able to identify a disease and discover the relevant treatment but it lagging to discover best treatment out of extracting treatments. The proposed system discover meaningful informative sentences from abstracts of published articles from MEDLINE. The MEDLINE contains information about disease and its treatment. The formal goal of a system is to discover a disease and treatment related information and also identify most desirable treatment out of the treatment extracted as a result by merging a computer system into healthcare domain. So the most desirable result will help to doctors in their decision making. The task of discovering best treatment from several treatments found for a given disease is done by using data mining techniques and by forecasting the views of different doctors by using voting system. In order to develop a system that can perfectly discover a disease and most desirable treatment that is reliable and capable for use in commercial healthcare recommender system and electronic Health record system
Keywords: Medline; Healthcare; Voting Algorithm; Electronic Health Record system; Desease & Treatement relation
Cite Article: "Diagnose Most Desirable Treatment For Disease Using Machine Learning Approach In Relation To Short Text", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 4, page no.106 - 111, April-2016, Available :http://www.ijsdr.org/papers/IJSDR1604021.pdf
Downloads: 000251440
Publication Details: Published Paper ID: IJSDR1604021
Registration ID:160129
Published In: Volume 1 Issue 4, April-2016
DOI (Digital Object Identifier):
Page No: 106 - 111
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

Click Here to Download This Article

Article Preview

Click here for Article Preview

Major Indexing from www.ijsdr.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

Track Paper
Important Links
Conference Proposal
DOI (A digital object identifier)

Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media

Indexing Partner