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A Machine Learning-Based Framework for Heart Disease Diagnosis Using a Comprehensive Patient Cohort

Year: 2025

Type: article

Abstract: Early and accurate detection of Heart Disease (HD) is critical for improving patient outcomes, as HD remains a leading cause of mortality worldwide. Timely and precise prediction can aid in preventive interventions, reducing ... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.065423

Authors: Saadia Tabassum, Fazal Muhammad, Muhammad Ayaz Khan, Muhammad Uzair Khan, Dawar Awan, Neelam Gohar, Shahid Khan, Amal Al-Rasheed

Institutions: Princess Nourah bint Abdulrahman University, Shaheed Benazir Bhutto Women University Peshawar, University of Chester, COMSATS University Islamabad

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

Funder: Princess Nourah Bint Abdulrahman University

Award: G7367530926

OpenAlex ID: W4410375694

FWCI: 3.743

Cites: 25

Cited by: 6

Related to: 10