Publication Date: 2022/09/13
Abstract: 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.
DOI: https://doi.org/10.5281/zenodo.7073448
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT22AUG1127_(1).pdf
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