An Empirical and Statistical Analysis of Classification Algorithms Used in Heart Attack Forecasting
- Title
- An Empirical and Statistical Analysis of Classification Algorithms Used in Heart Attack Forecasting
- Creator
- Roy G.; Cherish R.R.; Prathap B.R.
- Description
- The risk of dying from a heart attack is high everywhere in the world. This is based on the fact that every forty seconds, someone dies from a myocardial infarction. In this paper, heart attack is predicted with the help of dataset sourced from UCI Machine Learning Repository. The dataset analyses 13 attributes of 303 patients. The categorization method of Data Mining helps predict if a person will have a heart attack based on how they live their lives. An empirical and statistical analysis of different classification methods like the Support Vector Machine (SVM) Algorithm, Random Forest (RF) Algorithm, K-Nearest Neighbour (KNN) Algorithm, Logistic Regression (LR) Algorithm, and Decision Tree (DT) Algorithm is used as classifiers for effective prediction of the disease. The research study showed classification accuracy of 90% using KNN Algorithm. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
- Source
- Communications in Computer and Information Science, Vol-1973 CCIS, pp. 351-362.
- Date
- 2024-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Datamining algorithms; Heart attack; Machine Learning; Prediction
- Coverage
- Roy G., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Bangalore, India; Cherish R.R., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Bangalore, India; Prathap B.R., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Bangalore, India
- Rights
- Restricted Access
- Relation
- ISSN: 18650929; ISBN: 978-303150992-6
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Roy G.; Cherish R.R.; Prathap B.R., “An Empirical and Statistical Analysis of Classification Algorithms Used in Heart Attack Forecasting,” CHRIST (Deemed To Be University) Institutional Repository, accessed April 28, 2025, https://archives.christuniversity.in/items/show/19530.