[HTML][HTML] A hybrid deep neural net learning model for predicting Coronary Heart Disease using Randomized Search Cross-Validation Optimization
Abstract Coronary Heart Disease (CHD) is a life-threatening public health problem. Many
chronic CHDs and health risks can be avoided, reversed, and reduced with proper risk …
chronic CHDs and health risks can be avoided, reversed, and reduced with proper risk …
Coronary artery heart disease prediction: a comparative study of computational intelligence techniques
Diseases is an unusual circumstance that affects single or more parts of a human's body.
Because of lifestyle and patrimonial, different kinds of disease are increasing day by day …
Because of lifestyle and patrimonial, different kinds of disease are increasing day by day …
An efficient convolutional neural network for coronary heart disease prediction
This study proposes an efficient neural network with convolutional layers to classify
significantly class-imbalanced clinical data. The data is curated from the National Health and …
significantly class-imbalanced clinical data. The data is curated from the National Health and …
Efficient heart disease prediction using hybrid deep learning classification models
INTRODUCTION: Heart disease (HD) has been identified as one of the deadly diseases,
which affects the human beings of all ages worldwide. In such a scenario, Data Mining (DM) …
which affects the human beings of all ages worldwide. In such a scenario, Data Mining (DM) …
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 …
Improved heart disease prediction using deep neural network
Heart disease is biggest challenge for medical professionals. Modern life style made it an
epidemic; according to a survey conducted by WHO heart attack is leading cause of death …
epidemic; according to a survey conducted by WHO heart attack is leading cause of death …
Coronary heart disease diagnosis using deep neural networks
KH Miao, JH Miao - international journal of advanced …, 2018 - search.proquest.com
Abstract According to the World Health Organization, cardiovascular disease (CVD) is the
top cause of death worldwide. In 2015, over 30% of global deaths was due to CVD, leading …
top cause of death worldwide. In 2015, over 30% of global deaths was due to CVD, leading …
Intelligent framework for prediction of heart disease using deep learning
SM Vincent Paul, S Balasubramaniam… - Arabian Journal for …, 2022 - Springer
Heart diseases pose a serious threat. When arteries that supply oxygen and blood to the
heart are completely blocked or narrowed, the cardiac issue happens. The prominent …
heart are completely blocked or narrowed, the cardiac issue happens. The prominent …
Prediction of coronary heart disease using supervised machine learning algorithms
D Krishnani, A Kumari, A Dewangan… - TENCON 2019-2019 …, 2019 - ieeexplore.ieee.org
New technologies like Machine learning and Big data analytics have been proven to provide
promising solutions to biomedical communities, healthcare problems, and patient care. They …
promising solutions to biomedical communities, healthcare problems, and patient care. They …
Ensemble learning based on hybrid deep learning model for heart disease early prediction
Many epidemics have afflicted humanity throughout history, claiming many lives. It has been
noted in our time that heart disease is one of the deadliest diseases that humanity has …
noted in our time that heart disease is one of the deadliest diseases that humanity has …