A systematic review and IoMT based big data framework for COVID-19 prevention and detection
The Internet of Medical Things (IoMT) is transforming modern healthcare systems by
merging technological, economical, and social opportunities and has recently gained …
merging technological, economical, and social opportunities and has recently gained …
On the adoption of modern technologies to fight the COVID-19 pandemic: a technical synthesis of latest developments
A Majeed, X Zhang - COVID, 2023 - mdpi.com
In the ongoing COVID-19 pandemic, digital technologies have played a vital role to minimize
the spread of COVID-19, and to control its pitfalls for the general public. Without such …
the spread of COVID-19, and to control its pitfalls for the general public. Without such …
Classification of diseases using machine learning algorithms: A comparative study
MA Moreno-Ibarra, Y Villuendas-Rey, MD Lytras… - Mathematics, 2021 - mdpi.com
Machine learning in the medical area has become a very important requirement. The
healthcare professional needs useful tools to diagnose medical illnesses. Classifiers are …
healthcare professional needs useful tools to diagnose medical illnesses. Classifiers are …
Crossmodal bipolar attention for multimodal classification on social media
Multimodal classification of social media is used to classify data from different modalities into
different categories, which is essential for understanding user behavior on the web. In this …
different categories, which is essential for understanding user behavior on the web. In this …
An intelligent digital learning platform to enhance digital health literacy
K Eumbunnapong, P Wannapiroon… - … Journal of Emerging …, 2022 - learntechlib.org
Nowadays spreading of COVID-19, people are more at home and less physi-cally active in
the long run, which may affect their health. Moreover, cur-rently, there are many facilities that …
the long run, which may affect their health. Moreover, cur-rently, there are many facilities that …
[PDF][PDF] Prediction of COVID-19 based on genomic biomarkers of metagenomic next-generation sequencing data using artificial intelligence Technology
Objective: The primary aim of this study was to use metagenomic next-generation
sequencing (mNGS) data to identify coronavirus 2019 (COVID-19)-related biomarker genes …
sequencing (mNGS) data to identify coronavirus 2019 (COVID-19)-related biomarker genes …
[HTML][HTML] Quantitative analysis of the impact of various urban socioeconomic indicators on search-engine-based estimation of COVID-19 prevalence
L Wang, M Lin, J Wang, H Chen, M Yang, S Qiu… - Infectious Disease …, 2022 - Elsevier
Numerous studies have proposed search engine-based estimation of COVID-19 prevalence
during the COVID-19 pandemic; however, their estimation models do not consider the …
during the COVID-19 pandemic; however, their estimation models do not consider the …
B-AT-KD: Binary attention map knowledge distillation
Convolutional neural networks (CNNs) have been extensively used in a number of
applications and have shown to be quite effective. As the depth and width of the network …
applications and have shown to be quite effective. As the depth and width of the network …
Adoption of artificial intelligence technologies by often marginalized populations
Artificial Intelligence (AI) has found its application in many aspects of our lives. The COVID-
19 pandemic has further allowed AI to play an increasingly important and beneficial role in …
19 pandemic has further allowed AI to play an increasingly important and beneficial role in …
COVID-ViT: COVID-19 detection method based on vision transformers
Abstract The Coronavirus Disease 2019 (COVID-19) has had a devastating impact on
healthcare systems, requiring improvements to the screening process of infected patients in …
healthcare systems, requiring improvements to the screening process of infected patients in …