Published November 30, 2023 | Version CC-BY-NC-ND 4.0
Journal Open

Heart Disease Prediction Classification using Machine Learning

Creators

  • 1. Ph.D., Research Scholar, Department of Computer Science Engineering, RNTU, Bhopal (M.P), India.

Contributors

Contact person:

  • 1. Ph.D., Research Scholar, Department of Computer Science Engineering, RNTU, Bhopal (M.P), India
  • 2. Department of Computer Science Engineering, AISECT University, Bhopal (M.P), India.
  • 3. Department of Computer Science Engineering, REC, Bhopal (M.P), India.

Description

Abstract: Heart disease is a leading cause of mortality worldwide, and early detection and accurate prediction of heart disease can significantly improve patient outcomes. Machine learning techniques have shown great promise in assisting healthcare professionals in diagnosing and predicting heart disease. The diagnosis and prognosis of heart disease must be improved, refined, and accurate, because a small mistake can cause weakness or death. According to a recent World Health Organization study, 17.5 million people die each year. By 2030, this number will increase to 75 million.[2] This document explains how to enable online KSRMcapabilities. The KSRM smart system allows users to report heart-related problems. This research paper aims to explore the use of machine learning algorithms for effective heart disease prediction classification with Adaboost for improve the accuracy of algorithm.

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Additional details

Identifiers

DOI
10.35940/ijies.B4321.11101123
ISSN
2319-9598

Dates

Accepted
2023-11-15
Manuscript received on 12 October 2023 | Revised Manuscript received on 07 November 2023 | Manuscript Accepted on 15 November 2023 | Manuscript published on 30 November 2023

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