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
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:
000338172
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
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