Effective heart disease prediction using hybrid machine learning techniques
Heart disease is one of the most significant causes of mortality in the world today. Prediction
of cardiovascular disease is a critical challenge in the area of clinical data analysis. Machine …
of cardiovascular disease is a critical challenge in the area of clinical data analysis. Machine …
A Comprehensive Review on Heart Disease Risk Prediction using Machine Learning and Deep Learning Algorithms
VVR Karna, VR Karna, V Janamala… - … Methods in Engineering, 2024 - Springer
Cardiovascular diseases claim approximately 17.9 million lives annually, with heart attacks
and strokes accounting for over 80% of these deaths. Key risk factors, including …
and strokes accounting for over 80% of these deaths. Key risk factors, including …
Ensemble deep learning models for heart disease classification: A case study from Mexico
Heart diseases are highly ranked among the leading causes of mortality in the world. They
have various types including vascular, ischemic, and hypertensive heart disease. A large …
have various types including vascular, ischemic, and hypertensive heart disease. A large …
A clinical decision support system for heart disease prediction using deep learning
Unfortunately, heart disease is currently the primary cause of mortality worldwide and its
incidence is increasing. Detecting heart disease in its initial stages before a cardiac event …
incidence is increasing. Detecting heart disease in its initial stages before a cardiac event …
[HTML][HTML] An ensemble method based multilayer dynamic system to predict cardiovascular disease using machine learning approach
Cardiovascular disease is defined as a set of conditions related to the disorder of the heart
and blood vessels. Predicting and diagnosing cardiovascular disease is significant to …
and blood vessels. Predicting and diagnosing cardiovascular disease is significant to …
Nanobodies as Diagnostic and Therapeutic Tools for Cardiovascular Diseases (CVDs)
LA Bocancia-Mateescu, D Stan, AC Mirica, MG Ghita… - Pharmaceuticals, 2023 - mdpi.com
The aim of this review is to summarize some of the most recent work in the field of
cardiovascular disease (CVD) diagnosis and therapy, focusing mainly on the role of …
cardiovascular disease (CVD) diagnosis and therapy, focusing mainly on the role of …
An efficient prediction system for coronary heart disease risk using selected principal components and hyperparameter optimization
Medical science-related studies have reinforced that the prevalence of coronary heart
disease which is associated with the heart and blood vessels has been the most significant …
disease which is associated with the heart and blood vessels has been the most significant …
Predictionand diagnosis of heart disease patients using data mining technique
SP Shaji - … on communication and signal processing (ICCSP), 2019 - ieeexplore.ieee.org
We are living in a post modern era and there are tremendous changes happening to our
daily routines which make an impact on our health positively and negatively. As a result of …
daily routines which make an impact on our health positively and negatively. As a result of …
RETRACTED ARTICLE: A hybrid approach for mortality prediction for heart patients using ACO-HKNN
C Sowmiya, P Sumitra - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
Heart disease is the major cause of mortality in the world. The heart disease prediction from
the clinical data is deliberate as the most important subject in clinical data analysis …
the clinical data is deliberate as the most important subject in clinical data analysis …
Smart wearable model for predicting heart disease using machine learning: wearable to predict heart risk
The heart diseases are one of the leading causes of death in today's world. Wearable
Technology is gaining a lot of attention in today's world. This research focuses on …
Technology is gaining a lot of attention in today's world. This research focuses on …