Smart wearables for the detection of cardiovascular diseases: a systematic literature review

M Moshawrab, M Adda, A Bouzouane, H Ibrahim… - Sensors, 2023 - mdpi.com
Background: The advancement of information and communication technologies and the
growing power of artificial intelligence are successfully transforming a number of concepts …

Real-time cloud-based patient-centric monitoring using computational health systems

C Chakraborty, A Kishor - IEEE transactions on computational …, 2022 - ieeexplore.ieee.org
In many sectors, including healthcare services, Internet of Things (IoT) systems are growing
rapidly, providing promising technological, economical, and social potential. Healthcare …

A review: heart disease prediction in machine learning & deep learning

WAWA Bakar, NLNB Josdi, MB Man… - 2023 19th IEEE …, 2023 - ieeexplore.ieee.org
The whole world has come to know the fact that heart disease is not a trivial issue. Although
the years have changed, throngs of patients are diagnosed with this lethal disease and not …

Modified Self-Adaptive Bayesian algorithm for smart heart disease prediction in IoT system

AF Subahi, OI Khalaf, Y Alotaibi, R Natarajan… - Sustainability, 2022 - mdpi.com
Heart disease (HD) has surpassed all other causes of death in recent years. Estimating
one's risk of developing heart disease is difficult, since it takes both specialized knowledge …

Hybrid classifier-based federated learning in health service providers for cardiovascular disease prediction

MM Yaqoob, M Nazir, MA Khan, S Qureshi… - Applied Sciences, 2023 - mdpi.com
One of the deadliest diseases, heart disease, claims millions of lives every year worldwide.
The biomedical data collected by health service providers (HSPs) contain private …

A deep convolutional neural network for the early detection of heart disease

S Arooj, S Rehman, A Imran, A Almuhaimeed… - Biomedicines, 2022 - mdpi.com
Heart disease is one of the key contributors to human death. Each year, several people die
due to this disease. According to the WHO, 17.9 million people die each year due to heart …

A physics-guided deep learning approach for functional assessment of cardiovascular disease in IoT-based smart health

D Zhang, X Liu, J Xia, Z Gao, H Zhang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The rapid development of the Internet of Things (IoT) widely supports the smart healthcare
system. IoT-based smart health has significant importance for the diagnosis of …

A smart IoT-enabled heart disease monitoring system using meta-heuristic-based Fuzzy-LSTM model

NK Munagala, LRR Langoju, AD Rani… - biocybernetics and …, 2022 - Elsevier
A continuous heart disease monitoring system is one of the significant applications specified
by the Internet of Things (IoT). This goal might be achieved by combining sophisticated …

Rapid analysis of meat floss origin using a supervised machine learning-based electronic nose towards food authentication

LA Putri, I Rahman, M Puspita, SN Hidayat… - npj Science of …, 2023 - nature.com
Authentication of meat floss origin has been highly critical for its consumers due to existing
potential risks of having allergic diseases or religion perspective related to pork-containing …

Modified artificial bee colony based feature optimized federated learning for heart disease diagnosis in healthcare

MM Yaqoob, M Nazir, A Yousafzai, MA Khan… - Applied Sciences, 2022 - mdpi.com
Heart disease is one of the lethal diseases causing millions of fatalities every year. The
Internet of Medical Things (IoMT) based healthcare effectively enables a reduction in death …