Disease Prediction using Machine Learning

Authors : Anika Shreya Pawar

Volume/Issue : Volume 7 - 2022, Issue 8 - August

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3dfcof7

DOI : https://doi.org/10.5281/zenodo.7073448

Machine learning (ML) is an artificial intelligence (AI) technique that facilitates the improvement of predictability in software applications without requiring explicit programming. Data from the past is used to predict new outcomes using machine learning algorithms. During the course of this paper, we used four machine learning algorithms: Logistic Regression, Support Vector Machine, Decision Tree, and Gradient Boosting. Our chosen algorithms were applied to five datasets from the healthcare domain, in which we were able to predict kidney disease, liver disease, breast cancer predictions, heart diseases, and diabetes predictions.

Keywords : Machine Learning; kidney; heart; liver; breast- cancer; diabetes; svm; linear regression; decision tree; gradient boosting.


Paper Submission Last Date
29 - February - 2024

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