[HTML][HTML] Smart healthcare disease diagnosis and patient management: Innovation, improvement and skill development
A Ray, AK Chaudhuri - Machine Learning with Applications, 2021 - Elsevier
Data mining (DM) is an instrument of pattern detection and retrieval of knowledge from a
large quantity of data. Many robust early detection services and other health-related …
large quantity of data. Many robust early detection services and other health-related …
Selecting critical features for data classification based on machine learning methods
Feature selection becomes prominent, especially in the data sets with many variables and
features. It will eliminate unimportant variables and improve the accuracy as well as the …
features. It will eliminate unimportant variables and improve the accuracy as well as the …
Enhancing heart disease prediction accuracy through machine learning techniques and optimization
N Chandrasekhar, S Peddakrishna - Processes, 2023 - mdpi.com
In the medical domain, early identification of cardiovascular issues poses a significant
challenge. This study enhances heart disease prediction accuracy using machine learning …
challenge. This study enhances heart disease prediction accuracy using machine learning …
Heart disease detection using deep learning methods from imbalanced ECG samples
Heart disease (HD) is a fatal disease which takes the lives of maximum people compared to
other diseases across the world. Early and accurate detection of the disease will help to …
other diseases across the world. Early and accurate detection of the disease will help to …
An effective heart disease detection and severity level classification model using machine learning and hyperparameter optimization methods
Cardiovascular disease (CVD) is the leading cause of death worldwide. A Machine Learning
(ML) system can predict CVD in the early stages to mitigate mortality rates based on clinical …
(ML) system can predict CVD in the early stages to mitigate mortality rates based on clinical …
[Retracted] Heart Disease Prediction Based on the Embedded Feature Selection Method and Deep Neural Network
D Zhang, Y Chen, Y Chen, S Ye, W Cai… - Journal of healthcare …, 2021 - Wiley Online Library
In recent decades, heart disease threatens people's health seriously because of its
prevalence and high risk of death. Therefore, predicting heart disease through some simple …
prevalence and high risk of death. Therefore, predicting heart disease through some simple …
An exhaustive review of machine and deep learning based diagnosis of heart diseases
In comparison to other diseases, the number of deaths on Heart Disease (HD) is the highest
across the globe. The trend of death due to HD is still rising which has become a constant …
across the globe. The trend of death due to HD is still rising which has become a constant …
Incorporating cnn features for optimizing performance of ensemble classifier for cardiovascular disease prediction
Cardiovascular diseases (CVDs) have been regarded as the leading cause of death with
32% of the total deaths around the world. Owing to the large number of symptoms related to …
32% of the total deaths around the world. Owing to the large number of symptoms related to …
[PDF][PDF] Prediction of heart disease using feature selection and random forest ensemble method
DC Yadav, S Pal - International Journal of Pharmaceutical …, 2020 - researchgate.net
The heart is very soft and sensitive part of body by which brain handles blood related system
in body. The heart disease that greatly affects in body as like: pulmonary artery, atalata …
in body. The heart disease that greatly affects in body as like: pulmonary artery, atalata …
A hybrid model for heart disease prediction using recurrent neural network and long short term memory
GS Bhavekar, AD Goswami - International Journal of Information …, 2022 - Springer
Cardiac and cardiovascular diseases are among the most prevalent and dangerous
ailments that influence human health. The detection of cardiac disease in its early stages by …
ailments that influence human health. The detection of cardiac disease in its early stages by …