[HTML][HTML] Artificial intelligence in healthcare: review and prediction case studies

G Rong, A Mendez, EB Assi, B Zhao, M Sawan - Engineering, 2020 - Elsevier
Artificial intelligence (AI) has been developing rapidly in recent years in terms of software
algorithms, hardware implementation, and applications in a vast number of areas. In this …

Artificial intelligence in healthcare: a mastery

J Mukherjee, R Sharma, P Dutta… - … and Genetic Engineering …, 2024 - Taylor & Francis
There is a vast development of artificial intelligence (AI) in recent years. Computational
technology, digitized data collection and enormous advancement in this field have allowed …

Classification of cardiac arrhythmia using a convolutional neural network and bi-directional long short-term memory

SU Hassan, MS Mohd Zahid, TAA Abdullah… - Digital …, 2022 - journals.sagepub.com
Cardiac arrhythmia is a leading cause of cardiovascular disease, with a high fatality rate
worldwide. The timely diagnosis of cardiac arrhythmias, determined by irregular and fast …

IoT based arrhythmia classification using the enhanced hunt optimization‐based deep learning

A Kumar, SA Kumar, V Dutt, S Shitharth… - Expert …, 2023 - Wiley Online Library
The advancement of information technology, the Internet of Things (IoT), and several
miniaturize equipment's enhances the healthcare field that provides real‐time patient …

A review of different ECG classification/detection techniques for improved medical applications

V Gupta, NK Saxena, A Kanungo, A Gupta… - International Journal of …, 2022 - Springer
Electrocardiogram (ECG) is an important diagnostic tool in medical engineering, presented
in the form of electrical signal. Its complete analysis requires three stages viz. pre …

Wavelets for electrocardiogram: overview and taxonomy

W Li - IEEE Access, 2018 - ieeexplore.ieee.org
Physiological and pathological information within electrocardiogram (ECG) is crucial for the
diagnosis of heart diseases. Computer-aided diagnosis for the ECG signals has drawn …

ECG beat classifiers: A journey from ANN to DNN

SK Dhull, KK Singh - Procedia Computer Science, 2020 - Elsevier
Automatic electrocardiogram beat classification is a prevalent field of research among the
biomedical and computer science researchers. In the last decade, the research has seen a …

Automatic arrhythmia recognition from electrocardiogram signals using different feature methods with long short-term memory network model

SK Pandey, RR Janghel - Signal, Image and Video Processing, 2020 - Springer
The high mortality rate that has been prevailing among cardiac patients can be reduced to
some extent through early detection of the heart-related diseases which can be done with …

Automated detection of arrhythmia from electrocardiogram signal based on new convolutional encoded features with bidirectional long short-term memory network …

SK Pandey, RR Janghel - Physical and Engineering Sciences in Medicine, 2021 - Springer
Early detection of cardiac arrhythmia is needed to reduce mortality. Automatically detecting
the cardiac arrhythmias is a very challenging task. In this paper, a new deep convolutional …

Artificial intelligence in healthcare

A Sharma - Revolutionizing the Healthcare Sector with AI, 2024 - igi-global.com
Artificial intelligence (AI) has experienced fast enlargement in current years. The term AI
refers to the intelligence exhibited by machines, contrasting with that of humans or other …