Smart healthcare in the age of AI: recent advances, challenges, and future prospects
The significant increase in the number of individuals with chronic ailments (including the
elderly and disabled) has dictated an urgent need for an innovative model for healthcare …
elderly and disabled) has dictated an urgent need for an innovative model for healthcare …
Heart disease prediction using machine learning techniques: a quantitative review
Heart diseases or the cardiovascular diseases are the main reasons for a large number of
deaths in the world today. Heart disease affects the functioning of blood vessels and can …
deaths in the world today. Heart disease affects the functioning of blood vessels and can …
A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion
The accurate prediction of heart disease is essential to efficiently treating cardiac patients
before a heart attack occurs. This goal can be achieved using an optimal machine learning …
before a heart attack occurs. This goal can be achieved using an optimal machine learning …
Iot-cloud-based smart healthcare monitoring system for heart disease prediction via deep learning
AA Nancy, D Ravindran, PMD Raj Vincent… - Electronics, 2022 - mdpi.com
The Internet of Things confers seamless connectivity between people and objects, and its
confluence with the Cloud improves our lives. Predictive analytics in the medical domain can …
confluence with the Cloud improves our lives. Predictive analytics in the medical domain can …
Multi-label active learning-based machine learning model for heart disease prediction
The rapid growth and adaptation of medical information to identify significant health trends
and help with timely preventive care have been recent hallmarks of the modern healthcare …
and help with timely preventive care have been recent hallmarks of the modern healthcare …
[PDF][PDF] Performance of machine learning algorithms with different K values in K-fold CrossValidation
The numerical value of k in a k-fold cross-validation training technique of machine learning
predictive models is an essential element that impacts the model's performance. A right …
predictive models is an essential element that impacts the model's performance. A right …
Risk assessment of coronary heart disease based on cloud-random forest
J Wang, C Rao, M Goh, X Xiao - Artificial Intelligence Review, 2023 - Springer
Coronary heart disease (CHD) is a major public health problem affecting a nation's
economic and social development. Risk assessing CHD in a timely manner helps to stop …
economic and social development. Risk assessing CHD in a timely manner helps to stop …
An intelligent heart disease prediction system based on swarm-artificial neural network
The accurate prediction of cardiovascular disease is an essential and challenging task to
treat a patient efficiently before occurring a heart attack. In recent times, various intelligent …
treat a patient efficiently before occurring a heart attack. In recent times, various intelligent …
Predicting parkinson's disease progression: Evaluation of ensemble methods in machine learning
M Nilashi, RA Abumalloh… - Journal of healthcare …, 2022 - Wiley Online Library
Parkinson's disease (PD) is a complex neurodegenerative disease. Accurate diagnosis of
this disease in the early stages is crucial for its initial treatment. This paper aims to present a …
this disease in the early stages is crucial for its initial treatment. This paper aims to present a …
[PDF][PDF] Fusion-Based Machine Learning Architecture for Heart Disease Prediction.
The contemporary evolution in healthcare technologies plays a considerable and significant
role to improve medical services and save human lives. Heart disease or cardiovascular …
role to improve medical services and save human lives. Heart disease or cardiovascular …