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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 2, FEBRUARY 2022

Disease Prediction and Classification using Machine Learning Approach

Nikhil Giramkar, Shubham Rane, Abhishek More, Rupesh Bodkhe, Shraddha Khonde

DOI: 10.17148/IJARCCE.2022.11231

Abstract: Development in Machine Learning algorithms has led to early detection and prediction of fatal diseases. Certain websites help patients to identify such diseases. Many pharmaceutical companies use advanced data mining techniques to extract the data from pathological reports of patients to generate statistical reports and decide their drug supply and marketing strategies. Our software bridges the needs of patients as well as pharmaceutical companies by predicting fatal diseases like brain tumour, diabetes mellitus, lung cancer and cardiovascular (heart) diseases for the patient and generating analytical reports from patient’s data which provide a bird’s eye view of prevalence of a disease within an area for the pharma sector.

Keywords: Machine Learning, Diabetes Mellitus, Lung Cancer, Cardiovascular Disease, Brain Tumour

How to Cite:

[1] Nikhil Giramkar, Shubham Rane, Abhishek More, Rupesh Bodkhe, Shraddha Khonde, “Disease Prediction and Classification using Machine Learning Approach,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11231