[Retracted] Machine Learning‐Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic …
A Javeed, SU Khan, L Ali, S Ali… - … Methods in Medicine, 2022 - Wiley Online Library
One of the leading causes of deaths around the globe is heart disease. Heart is an organ
that is responsible for the supply of blood to each part of the body. Coronary artery disease …
that is responsible for the supply of blood to each part of the body. Coronary artery disease …
The roles of machine learning methods in limiting the spread of deadly diseases: A systematic review
Abstract Machine learning (ML) methods can be leveraged to prevent the spread of deadly
infectious disease outbreak (eg, COVID-19). This can be done by applying machine learning …
infectious disease outbreak (eg, COVID-19). This can be done by applying machine learning …
Covid-19 outbreak prediction with machine learning
Several outbreak prediction models for COVID-19 are being used by officials around the
world to make informed decisions and enforce relevant control measures. Among the …
world to make informed decisions and enforce relevant control measures. Among the …
COVID-19 pandemic prediction for Hungary; a hybrid machine learning approach
Several epidemiological models are being used around the world to project the number of
infected individuals and the mortality rates of the COVID-19 outbreak. Advancing accurate …
infected individuals and the mortality rates of the COVID-19 outbreak. Advancing accurate …
A Comprehensive Investigation of the Performances of Different Machine Learning Classifiers with SMOTE‐ENN Oversampling Technique and Hyperparameter …
M Muntasir Nishat, F Faisal, I Jahan Ratul… - Scientific …, 2022 - Wiley Online Library
Heart failure is a chronic cardiac condition characterized by reduced supply of blood to the
body due to impaired contractile properties of the muscles of the heart. Like any other …
body due to impaired contractile properties of the muscles of the heart. Like any other …
Neural network based country wise risk prediction of COVID-19
The recent worldwide outbreak of the novel coronavirus (COVID-19) has opened up new
challenges to the research community. Artificial intelligence (AI) driven methods can be …
challenges to the research community. Artificial intelligence (AI) driven methods can be …
Analysis and prediction of cardio vascular disease using machine learning classifiers
NK Kumar, GS Sindhu, DK Prashanthi… - 2020 6th International …, 2020 - ieeexplore.ieee.org
Cardio Vascular Disease (CVD) is, for the most part, alluding to conditions that include
limited or blocked veins that can prompt a heart attack, chest torment (angina) or stroke. The …
limited or blocked veins that can prompt a heart attack, chest torment (angina) or stroke. The …
[HTML][HTML] Cardiovascular diseases prediction by machine learning incorporation with deep learning
It is yet unknown what causes cardiovascular disease (CVD), but we do know that it is
associated with a high risk of death, as well as severe morbidity and disability. There is an …
associated with a high risk of death, as well as severe morbidity and disability. There is an …
Prediction of cardiac disease using supervised machine learning algorithms
The healthcare industry is dealing with billions of patients all over the world and producing
massive data. The machine learning-based models are dissecting the multidimensional …
massive data. The machine learning-based models are dissecting the multidimensional …
Network analytics and machine learning for predictive risk modelling of cardiovascular disease in patients with type 2 diabetes
A high proportion of older adults with type 2 diabetes (T2D) often develop cardiovascular
diseases (CVD). Diagnosis and regular monitoring of their multimorbidity is clinically and …
diseases (CVD). Diagnosis and regular monitoring of their multimorbidity is clinically and …