The role of the Internet of Things in healthcare: Future trends and challenges
Abstract Background and Objective With the recent advances in the Internet of Things (IoT),
the field has become more and more developed in healthcare. The Internet of things will …
the field has become more and more developed in healthcare. The Internet of things will …
Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review
During the COVID-19 pandemic, the patient care delivery paradigm rapidly shifted to remote
technological solutions. Rising rates of life expectancy of older people, and deaths due to …
technological solutions. Rising rates of life expectancy of older people, and deaths due to …
Advantages of direct input-to-output connections in neural networks: The Elman network for stock index forecasting
Y Wang, L Wang, F Yang, W Di, Q Chang - Information Sciences, 2021 - Elsevier
Abstract The Elman neural network (ElmanNN) is well-known for its capability of processing
dynamic information, which has led to successful applications in stock forecasting. In this …
dynamic information, which has led to successful applications in stock forecasting. In this …
A deep learning approach for atrial fibrillation signals classification based on convolutional and modified Elman neural network
J Wang - Future Generation Computer Systems, 2020 - Elsevier
Atrial fibrillation (AF) is one of the main causes of life-threatening heart disease. Its detection
and diagnosis have been highly concerned by physicians in recent years. However, the …
and diagnosis have been highly concerned by physicians in recent years. However, the …
Optimal feature extraction and classification-oriented medical insurance prediction model: machine learning integrated with the internet of things
S Chowdhury, P Mayilvahanan… - International Journal of …, 2022 - Taylor & Francis
This paper plans to develop an effective machine learning system integrated with the
Internet of Things (IoT) to predict the health insurance amount. IoT in healthcare enables …
Internet of Things (IoT) to predict the health insurance amount. IoT in healthcare enables …
Nondestructive evaluation of thermal barrier coatings thickness using terahertz Time-Domain spectroscopy combined with hybrid machine learning approaches
R Li, D Ye, Z Xu, C Yin, H Xu, H Zhou, J Yi, Y Chen… - Coatings, 2022 - mdpi.com
To ensure the thermal stability of aero-engine blades under high temperature and harsh
service environments, it is necessary to quickly and accurately evaluate the thickness of …
service environments, it is necessary to quickly and accurately evaluate the thickness of …
RETRACTED ARTICLE: Cloud-and IoT-based deep learning technique-incorporated secured health monitoring system for dead diseases
P Malarvizhi Kumar, CS Hong, G Chandra Babu… - Soft Computing, 2021 - Springer
Abstract Internet of Things (IoT)-enabled e-healthcare applications are contributing more to
the society for providing healthcare monitoring services efficiently in smart environment …
the society for providing healthcare monitoring services efficiently in smart environment …
Evaluating the E-health cloud computing systems adoption in Taiwan's healthcare industry
SC Chang, MT Lu, TH Pan, CS Chen - Life, 2021 - mdpi.com
Although the electronic health (e-health) cloud computing system is a promising innovation,
its adoption in the healthcare industry has been slow. This study investigated the adoption of …
its adoption in the healthcare industry has been slow. This study investigated the adoption of …
Automated detection of atrial fibrillation and atrial flutter in ECG signals based on convolutional and improved Elman neural network
J Wang - Knowledge-Based Systems, 2020 - Elsevier
Atrial fibrillation (AF) and atrial flutter (AFL) are two common life-threatening arrhythmias.
Both are not only easily transformed into each other, but also often cause misdiagnosis due …
Both are not only easily transformed into each other, but also often cause misdiagnosis due …
An improved deep learning approach based on exponential moving average algorithm for atrial fibrillation signals identification
J Wang, S Zhang - Neurocomputing, 2022 - Elsevier
Atrial fibrillation (AF) is one of the leading causes of heart diseases worldwide. An accurate
AF detection method for timely treatment is attracting great attention by widespread scientific …
AF detection method for timely treatment is attracting great attention by widespread scientific …