A powerful paradigm for cardiovascular risk stratification using multiclass, multi-label, and ensemble-based machine learning paradigms: A narrative review
Abstract Background and Motivation: Cardiovascular disease (CVD) causes the highest
mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment …
mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment …
A comprehensive review of deep learning-based models for heart disease prediction
C Zhou, P Dai, A Hou, Z Zhang, L Liu, A Li… - Artificial Intelligence …, 2024 - Springer
Heart disease (HD) is one of the leading causes of death in humans, posing a heavy burden
on society, families, and patients. Real-time prediction of HD can reduce mortality rates and …
on society, families, and patients. Real-time prediction of HD can reduce mortality rates and …
A novel study on machine learning algorithm‐based cardiovascular disease prediction
Cardiovascular disease (CVD) is a life‐threatening disease rising considerably in the world.
Early detection and prediction of CVD as well as other heart diseases might protect many …
Early detection and prediction of CVD as well as other heart diseases might protect many …
[HTML][HTML] An improved AdaBoost algorithm for identification of lung cancer based on electronic nose
L Hao, G Huang - Heliyon, 2023 - cell.com
The research developed an improved intelligent enhancement learning algorithm based on
AdaBoost, that can be applied for lung cancer breath detection by the electronic nose …
AdaBoost, that can be applied for lung cancer breath detection by the electronic nose …
An IoT-fog-cloud integrated framework for real-time remote cardiovascular disease diagnosis
Recently, it has proven difficult to make an immediate remote diagnosis of any coronary
illness, including heart disease, diabetes, etc. The drawbacks of cloud computing …
illness, including heart disease, diabetes, etc. The drawbacks of cloud computing …
[PDF][PDF] Explainable heart disease prediction using ensemble-quantum machine learning approach
Nowadays, quantum machine learning is attracting great interest in a wide range of fields
due to its potential superior performance and capabilities. The massive increase in …
due to its potential superior performance and capabilities. The massive increase in …
Heartfog: Fog computing enabled ensemble deep learning framework for automatic heart disease diagnosis
Abstract Recently IoT, ie, Internet of Things, is gaining importance for various fields; e-
Healthcare is one of the IoT applications that can be used in developing different kinds of …
Healthcare is one of the IoT applications that can be used in developing different kinds of …
Diagnose Diabetic Mellitus Illness Based on IoT Smart Architecture
Obtaining a quick remote diagnosis of heart disease has proven problematic in recent days.
To overcome such issues in e‐Healthcare systems, Internet of Things (IoT) applications …
To overcome such issues in e‐Healthcare systems, Internet of Things (IoT) applications …
MDensNet201-IDRSRNet: Efficient cardiovascular disease prediction system using hybrid deep learning
M Mandava - Biomedical Signal Processing and Control, 2024 - Elsevier
Cardiovascular diseases (CVDs) are common diseases that impact the heart or vascular
system. Since early discovery significantly improves survival chances, precise prediction …
system. Since early discovery significantly improves survival chances, precise prediction …
Diagnosis of cardiovascular diseases by ensemble optimization deep learning techniques
Cardiovascular disease (CVD) is a variety of diseases that affect the blood vessels and the
heart. The authors propose a set of deep learning inspired by the approach used in CVD …
heart. The authors propose a set of deep learning inspired by the approach used in CVD …