Classification of Healthcare Datasets through Supervised Machine Learning Algorithms
| Author(s) | : | Ravindra Singh Sapera, Shrwan Ram |
| Institution | : | Computer Science Department, M.B.M. Engineering CollegeJodhpur |
| Published In | : | Vol. 7, Issue 10 — October 2020 |
| Page No. | : | 1-7 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
The work centered on methodologies based on machine learning to develop applications that are capable ofrecognizing and disseminating health information. In this paper, a different type of supervised machine learning approach isused for the classification. Analyzing the machine learning algorithms and finding out the most appropriate algorithms forhealthcare data. In this study, designed a classification system using a Decision tree, Naïve Bayes Support Vector Machine,and KNN for medical data classification with various numbers of attributes and instances. Its include two type classificationnamely present or absence data distribution from the Cleveland heart disease data set. The experiment outcomes positivelydemonstrate that the decision tree classifier is effective in undertaking healthcare data classification tasks.
Ravindra Singh Sapera, Shrwan Ram, “Classification of Healthcare Datasets through Supervised Machine Learning Algorithms”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 7, Issue 10, pp. 1-7, October 2020.
