Detecting and Classifying Myocardial Infarction in Echocardiogram Frames with an Enhanced CNN Algorithm and ECV-3D Network

S Deepika, N Jaisankar - IEEE Access, 2024 - ieeexplore.ieee.org
Myocardial infarction is a serious medical condition that requires prompt and accurate
diagnosis for effective treatment. In this paper, we present a novel approach for detecting …

Artificial Intelligence Driven Intelligent Computational Model for Heart Disease Prediction: Leveraging Feature Selection

P Pal, V Grover, M Nandal, S Gochhait… - … for Sustainability and …, 2024 - ieeexplore.ieee.org
In recent years, heart disease has become a very serious threat to the health and safety of
people all over the globe. Typically, this condition occurs when there is an insufficient supply …

An integrated Two-Layered Voting (TLV) framework for coronary artery disease prediction using machine learning classifiers

DY Omkari, K Shaik - IEEE Access, 2024 - ieeexplore.ieee.org
Cardiovascular problems have emerged as a significant concern, adversely impacting
individuals across all age groups. Several recent research studies have used Machine …

Development of Hybrid Machine Learning in Patient Diagnosis Classification Using the XRP Model (Extraction, Reduction & Prediction)

HN Putra, S Defit, GW Nurcahyo - Baghdad Science Journal, 2024 - bsj.uobaghdad.edu.iq
This study, carried out over six months at an Indonesian hospital, explores the benefits of
standardizing medical record data and integrating health information systems for healthcare …

[PDF][PDF] Heart Disease Prediction: A Machine Learning Approach with Higher Accuracy

NH Likhon, F Bhuyian, S Bhuiyan, MA Fahim… - … Internal Med J, 2024 - opastpublishers.com
Heart disease, a prevalent cardiovascular condition, poses significant health risks and
affects millions worldwide. The alarming rise in heart disease cases in recent years …