IJSDR
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
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: May 2024

Volume 9 | Issue 5

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: Machine Learning Techniques Usage in Prediction of Multiple Chronical Diseases
Authors Name: AKKALA BHARGAVI , MARADANA JAGADEESH KUMAR , BURI KISHOR KUMAR , M. MARY SUJATHA
Unique Id: IJSDR2404093
Published In: Volume 9 Issue 4, April-2024
Abstract: Multiple Chronical Disease Prediction System is an effective healthcare predictive application that aims to predict multiple chronical diseases including Chronical Kidney Disease, Heart Disease, Diabetes, Brain Stroke and Lung Cancer with the help of various machine learning algorithms. Scope of the project is all-inclusive, focussing to predict the possibility of various diseases in the human beings taking into account their distinctive health profiles. The electronic health records are acquired from the online sources like UCI machine learning repository, GitHub and Kaggle. This prediction system uses data mining techniques for completing the purpose i.e., data pre-processing and is trained on various ensemble methods like random forest, supervised techniques, unsupervised techniques like decision tree, logistic regression, multi-layer perceptron and naive bayes. As most of these diseases share some common risk factors through our work, we are trying to explore the possible interconnection between these chronical diseases and also the chance of developing these chronical illnesses. Finally, this prediction system with the power of machine learning techniques helps in the identification and prognosis of such diseases at early stages to prevent the extremity of them and at the same time reducing the health care expenditure.
Keywords: Machine Learning Algorithms, Data Mining Techniques, Random oversampling, Chronical Disease Prediction
Cite Article: "Machine Learning Techniques Usage in Prediction of Multiple Chronical Diseases", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 4, page no.667 - 674, April-2024, Available :http://www.ijsdr.org/papers/IJSDR2404093.pdf
Downloads: 000338171
Publication Details: Published Paper ID: IJSDR2404093
Registration ID:210802
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 667 - 674
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
ISSN
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
IJSDR

Indexing Partner