 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: December 2025
Volume 10 | Issue 12
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19457
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 144
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Detection of Chronic Disease using Machine Learning Techniques |
| Authors Name: | Amruta H Raut , Tejashree H Jadhav , Yogita G Borole , Dr M A Pradhan |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_180807
|
| Published Paper Id: | IJRTI1904022 |
| Published In: | Volume 4 Issue 4, April-2019 |
| DOI: | |
| Abstract: | According to World Health Organization (WHO), chronic diseases are the leading cause of death worldwide. With the improvement of living standards, the incidences of chronic disease is increasing. Hence it is important to perform risk assessments for chronic diseases. Since there is enormous amount of data available from medical industry, it could be useful for discovering hidden patterns and developing a classifier using existing machine learning techniques. Accurate analysis of medical data benefits early disease detection and patient care which in turn benefits the society. Preprocessing of data plays a significant role for enhancing accuracy of classification systems. In this paper, we use machine learning algorithms for effective prediction of chronic disease. We first did the comparative study of different machine learning algorithm then we propose a new framework based on two machine learning algorithms: Naive Bayes Algorithm and Decision Tree Algorithm. We apply both these algorithms on the dataset and predict the outcome. We also compare the results obtained by applying these algorithms to conclude which of the algorithm is better and more accurate. |
| Keywords: | Machine Learning; Chronic Disease; Naive Bayes Algorithm; Decision Tree |
| Cite Article: | "Detection of Chronic Disease using Machine Learning Techniques", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.4, Issue 4, page no.110 - 113, April-2019, Available :http://www.ijrti.org/papers/IJRTI1904022.pdf |
| Downloads: | 000205121 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI1904022
Registration ID:180807
Published In: Volume 4 Issue 4, April-2019
DOI (Digital Object Identifier):
Page No: 110 - 113 Country: Pune, MAHARASHTRA, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1904022 Published Paper PDF: https://www.ijrti.org/papers/IJRTI1904022 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.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 |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||