Smart healthcare in the age of AI: recent advances, challenges, and future prospects

M Nasr, MM Islam, S Shehata, F Karray… - IEEE Access, 2021 - ieeexplore.ieee.org
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 …

Heart disease prediction using machine learning techniques: a quantitative review

L Riyaz, MA Butt, M Zaman, O Ayob - International Conference on …, 2022 - Springer
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 …

A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion

F Ali, S El-Sappagh, SMR Islam, D Kwak, A Ali… - Information …, 2020 - Elsevier
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 …

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 …

Multi-label active learning-based machine learning model for heart disease prediction

IM El-Hasnony, OM Elzeki, A Alshehri, H Salem - Sensors, 2022 - mdpi.com
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 …

[PDF][PDF] Performance of machine learning algorithms with different K values in K-fold CrossValidation

IK Nti, O Nyarko-Boateng, J Aning - International Journal of …, 2021 - researchgate.net
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 …

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 …

An intelligent heart disease prediction system based on swarm-artificial neural network

S Nandy, M Adhikari, V Balasubramanian… - Neural Computing and …, 2023 - Springer
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 …

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 …

[PDF][PDF] Fusion-Based Machine Learning Architecture for Heart Disease Prediction.

MW Nadeem, HG Goh, MA Khan… - … , Materials & Continua, 2021 - researchgate.net
The contemporary evolution in healthcare technologies plays a considerable and significant
role to improve medical services and save human lives. Heart disease or cardiovascular …