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An Empirical and Statistical Analysis of Classification Algorithms Used in Heart Attack Forecasting

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Computational Sciences and Sustainable Technologies (ICCSST 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1973))

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Abstract

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.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Bangalore, India

    Gifty Roy, Reshma Rachel Cherish & Boppuru Rudra Prathap

Authors
  1. Gifty Roy
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  2. Reshma Rachel Cherish
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  3. Boppuru Rudra Prathap
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Corresponding author

Correspondence to Gifty Roy .

Editor information

Editors and Affiliations

  1. CHRIST University, Bangalore, India

    Sagaya Aurelia

  2. CHRIST University, Bangalore, India

    Chandra J.

  3. CHRIST University, Bangalore, India

    Ashok Immanuel

  4. Modern College of Business and Science, Muscat, Oman

    Joseph Mani

  5. Modern College of Business and Science, Muscat, Oman

    Vijaya Padmanabha

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Roy, G., Cherish, R.R., Prathap, B.R. (2024). An Empirical and Statistical Analysis of Classification Algorithms Used in Heart Attack Forecasting. In: Aurelia, S., J., C., Immanuel, A., Mani, J., Padmanabha, V. (eds) Computational Sciences and Sustainable Technologies. ICCSST 2023. Communications in Computer and Information Science, vol 1973. Springer, Cham. https://doi.org/10.1007/978-3-031-50993-3_28

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  • DOI: https://doi.org/10.1007/978-3-031-50993-3_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-50992-6

  • Online ISBN: 978-3-031-50993-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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