Early Coronary Heart Disease Deciphered via Support Vector Machines: Insights from Experiments

Faijan Akhtar, Md Belal Bin Heyat, Saba Parveen, Priya Singh, Muhammad Faiz Ul Hassan, Saima Parveen, Mohd Ammar Bin Hayat, Eram Sayeed, Asad Ali, Jian Ping Li, Mohamad Sawan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Contemporary global health is increasingly shaped by Coronary Heart Disease (CHD), a swiftly growing concern. Precisely predicting CHD remains crucial for optimal patient care. This study analyzes various classifiers to sort through a complex dataset related to CHD, meticulously curated and computationally characterized with 919 patient cases. Narrowing the focus to a subset of 12 attributes, each annotated, a support vector machine (SVM) classifier is applied across different models - Linear, Polynomial, Radial Basis Function (RBF), and Sigmoid. Results show the SVM Linear model achieving 87.7% accuracy, while Polynomial, RBF, and Sigmoid models achieve 81.6%, 83.3%, and 87.8% respectively. Metrics like Area Under the Curve (AUC), sensitivity, and specificity add quantitative depth. Feature reduction's potential impact on precision and classifier efficiency is acknowledged, emphasizing ML's crucial role in refining diagnostic precision for cardiac conditions. The study offers a comprehensive view of cardiovascular ailments across age groups, empowering clinicians with data-driven medical insights via advanced machine learning.

Original languageEnglish
Title of host publication2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350318982
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event20th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2023 - Chengdu, China
Duration: 15 Dec 202317 Dec 2023

Publication series

Name2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2023

Conference

Conference20th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2023
Country/TerritoryChina
CityChengdu
Period15/12/2317/12/23

Keywords

  • Coronary Heart Diseases
  • Detection
  • Machine Learning
  • Support Vector Machine;

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