Early myocardial infarction detection with one-class classification over multi-view echocardiography
Myocardial infarction (MI) is the leading cause of mortaZity and morbidity in the world. Early
therapeutics of MI can ensure the prevention of further myocardial necrosis …
therapeutics of MI can ensure the prevention of further myocardial necrosis …
Refining Myocardial Infarction Detection: A Novel Multi-Modal Composite Kernel Strategy in One-Class Classification
Early detection of myocardial infarction (MI), a critical condition arising from coronary artery
disease (CAD), is vital to prevent further myocardial damage. This study introduces a novel …
disease (CAD), is vital to prevent further myocardial damage. This study introduces a novel …
Anomaly Detection in Healthcare: A Deep Learning Approach with Autoencoders
A Badhoutiya, DP Singh, JRF Raj… - … for Innovations in …, 2023 - ieeexplore.ieee.org
This work investigates the use of autoencoders in deep learning for anomaly detection in the
healthcare domain, with a focus on ethical and interpretable issues. The study creates a …
healthcare domain, with a focus on ethical and interpretable issues. The study creates a …
[PDF][PDF] Anomaly detection in kernel-level process events using machine learning-based context analysis
OM Ezeme - 2020 - researchgate.net
The limitation of the use of input-validation approach in anomaly detection at the application
layer is that a malicious software like Stuxnet worm can successfully return looped expected …
layer is that a malicious software like Stuxnet worm can successfully return looped expected …
[引用][C] Project 10a. 002. TAU_WP2–Early Myocardial Infarction Detection by Echocardiography
MG PI, S Kiranyaz, A Degerli, I Ahmad, C Sundell