Role of wearable sensing technology to manage long COVID

KR Khondakar, A Kaushik - Biosensors, 2022 - mdpi.com
Long COVID consequences have changed the perception towards disease management,
and it is moving towards personal healthcare monitoring. In this regard, wearable devices …

Review paper for detection of COVID-19 from medical images and/or symptoms of patient using machine learning approaches

AK Siddhu, A Kumar, S Kundu - 2020 9th international …, 2020 - ieeexplore.ieee.org
The new type of coronavirus COVID-19 virus was first detected in Wuhan-China. A COVID-
19 certified patient is characterized by fever, fatigue, and dry cough. The coronavirus …

[Retracted] IoT‐Enabled Framework for Early Detection and Prediction of COVID‐19 Suspects by Leveraging Machine Learning in Cloud

MH Mir, S Jamwal, A Mehbodniya… - Journal of healthcare …, 2022 - Wiley Online Library
COVID‐19 is the repugnant but the most searched word since its outbreak in November
2019 across the globe. The world has to battle with it until an effective solution is developed …

Smart Telemedicine Diagnosis Systems, Biomedical Big Data, and Telehealth Outpatient Monitoring in COVID-19 Screening, Testing, and Treatment

K Campbell - American Journal of Medical Research, 2021 - ceeol.com
Employing recent research results covering smart telemedicine diagnosis systems,
biomedical big data, and telehealth outpatient monitoring in COVID-19 screening, testing …

Combining point-of-care diagnostics and internet of medical things (IoMT) to combat the COVID-19 pandemic

T Yang, M Gentile, CF Shen, CM Cheng - Diagnostics, 2020 - mdpi.com
The current standard testing method for screening coronavirus disease 2019 (COVID-19) is
through reverse real-time PCR assay (rRT-PCR), a common molecular-based assay that …

Telemedicine Framework in COVID-19 Pandemic

FI Ali, TE Ali, AH Hamad - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
The COVID-19 pandemic coincided with the growth and ripeness of several digital methods,
such as Artificial Intelligence (AI)(including Machine Learning (ML) and Deep Learning …

Digital innovation for healthcare in COVID-19 pandemic

E Nazari - Digital Innovation for Healthcare in COVID-19 …, 2022 - Elsevier
In recent decades, complex and infectious diseases like COVID-19 have been increasing.
New technologies, essentially computers and mobile phones, have become an integral part …

Impact of artificial intelligence on COVID-19 pandemic: a survey of image processing, tracking of disease, prediction of outcomes, and computational medicine

KH Almotairi, AMA Hussein, L Abualigah… - Big Data and Cognitive …, 2023 - mdpi.com
Integrating machine learning technologies into artificial intelligence (AI) is at the forefront of
the scientific and technological tools employed to combat the COVID-19 pandemic. This …

Towards improving patient health monitoring system using machine learning and internet of things

SA Kumar, B Gopinath, A Kavinraj… - … on Advancements in …, 2021 - ieeexplore.ieee.org
In today's world, everyone's health is a major concern and a top priority. Humans are
afflicted with a plethora of diseases because of their unhealthy habits. People are primarily …

Data Science in Healthcare: COVID-19 and beyond

T Hulsen - International Journal of Environmental Research and …, 2022 - mdpi.com
Data science is an interdisciplinary field that applies numerous techniques, such as machine
learning (ML), neural networks (NN) and artificial intelligence (AI), to create value, based on …