Enhancing Cardiac Health Diagnoses Through Machine Learning Analysis of Phonocardiograms (PCG)

Authors

Khurram Shehzad Khattak (ORCID: https://orcid.org/0000-0001-7749-1635)
Anwar Mehmood Sohail (ORCID: https://orcid.org/0009-0007-8307-4564)
Zawar Hussain Khan (ORCID: https://orcid.org/0000-0002-3007-265X)
Popal Khan Popalzai

Institutions

Information Technology University (PK)
University of Engineering and Technology Lahore (PK)
University of Victoria (CA)
University of Malaya (MY)

Publication Details

Journal: Journal of Data Science and Intelligent Systems
Published: 2025-02-16
DOI: https://doi.org/10.47852/bonviewjdsis52023774
Citations: 2
Primary Topic: Phonocardiography and Auscultation Techniques
Type: article
Field-Weighted Citation Impact: 3.04

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article

Enhancing Cardiac Health Diagnoses Through Machine Learning Analysis of Phonocardiograms (PCG)

Khurram Shehzad Khattak, Anwar Mehmood Sohail, Zawar Hussain Khan, Popal Khan Popalzai

Feb 16, 2025

2 citations

Journal of Data Science and Intelligent Systems

Phonocardiography and Auscultation Techniques

3.04

article

Enhancing Cardiac Health Diagnoses Through Machine Learning Analysis of Phonocardiograms (PCG)

Khurram Shehzad Khattak, Anwar Mehmood Sohail, Zawar Hussain Khan, Popal Khan Popalzai

February 16, 2025article en

2 citations

Abstract

No abstract available for this paper.

Journal of Data Science and Intelligent SystemsVol. 3(4)

Information Technology University (PK), University of Engineering and Technology Lahore (PK), University of Victoria (CA), University of Malaya (MY)

Openalex Percentile: Top 11%

Phonocardiography and Auscultation Techniques

3.04

DOI Open Access PDF OpenAlex

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Enhancing Cardiac Health Diagnoses Through Machine Learning Analysis of Phonocardiograms (PCG) — Khurram Shehzad Khattak, Anwar Mehmood Sohail, et al. · Journal of Data Science and Intelligent Systems (2025) | TGRS Research Map | TGRS