Wearable technology for early detection of COVID-19: A systematic scoping review
Wearable technology is an emerging method for the early detection of coronavirus disease
2019 (COVID-19) infection. This scoping review explored the types, mechanisms, and …
2019 (COVID-19) infection. This scoping review explored the types, mechanisms, and …
Machine learning approaches for tackling novel coronavirus (COVID-19) pandemic
Abstract Novel coronavirus (COVID-19) has become a global problem in recent times due to
the rapid spread of this disease. Almost all the countries of the world have been affected by …
the rapid spread of this disease. Almost all the countries of the world have been affected by …
Deep learning for COVID-19 detection based on CT images
W Zhao, W Jiang, X Qiu - Scientific Reports, 2021 - nature.com
COVID-19 has tremendously impacted patients and medical systems globally. Computed
tomography images can effectively complement the reverse transcription-polymerase chain …
tomography images can effectively complement the reverse transcription-polymerase chain …
Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients
COVID-19 has caused many deaths worldwide. The automation of the diagnosis of this virus
is highly desired. Convolutional neural networks (CNNs) have shown outstanding …
is highly desired. Convolutional neural networks (CNNs) have shown outstanding …
Internet of things: Device capabilities, architectures, protocols, and smart applications in healthcare domain
Nowadays, the Internet has spread to practically every country around the world and is
having unprecedented effects on people's lives. The Internet of Things (IoT) is getting more …
having unprecedented effects on people's lives. The Internet of Things (IoT) is getting more …
Fusion of multi-scale bag of deep visual words features of chest X-ray images to detect COVID-19 infection
Chest X-ray (CXR) images have been one of the important diagnosis tools used in the
COVID-19 disease diagnosis. Deep learning (DL)-based methods have been used heavily …
COVID-19 disease diagnosis. Deep learning (DL)-based methods have been used heavily …
Explainable DCNN based chest X-ray image analysis and classification for COVID-19 pneumonia detection
J Hou, T Gao - Scientific Reports, 2021 - nature.com
To speed up the discovery of COVID-19 disease mechanisms by X-ray images, this research
developed a new diagnosis platform using a deep convolutional neural network (DCNN) …
developed a new diagnosis platform using a deep convolutional neural network (DCNN) …
Quantum algorithm for quicker clinical prognostic analysis: an application and experimental study using CT scan images of COVID-19 patients
K Sengupta, PR Srivastava - BMC Medical Informatics and Decision …, 2021 - Springer
Background In medical diagnosis and clinical practice, diagnosing a disease early is crucial
for accurate treatment, lessening the stress on the healthcare system. In medical imaging …
for accurate treatment, lessening the stress on the healthcare system. In medical imaging …
[HTML][HTML] Detection of COVID-19 using deep learning techniques and cost effectiveness evaluation: a survey
Graphical-design-based symptomatic techniques in pandemics perform a quintessential
purpose in screening hit causes that comparatively render better outcomes amongst the …
purpose in screening hit causes that comparatively render better outcomes amongst the …
Survival study on deep learning techniques for IoT enabled smart healthcare system
AK Munnangi, S UdhayaKumar, V Ravi… - Health and …, 2023 - Springer
Purpose The paper is to study a review of the employment of deep learning (DL) techniques
inside the healthcare sector, together with the highlight of the strength and shortcomings of …
inside the healthcare sector, together with the highlight of the strength and shortcomings of …