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[HTML][HTML] The convergence of traditional and digital biomarkers through AI-assisted biosensing: A new era in translational diagnostics?
Advances in consumer electronics, alongside the fields of microfluidics and nanotechnology
have brought to the fore low-cost wearable/portable smart devices. Although numerous …
have brought to the fore low-cost wearable/portable smart devices. Although numerous …
Applications of artificial intelligence in battling against covid-19: A literature review
M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
COVID-19 cough classification using machine learning and global smartphone recordings
We present a machine learning based COVID-19 cough classifier which can discriminate
COVID-19 positive coughs from both COVID-19 negative and healthy coughs recorded on a …
COVID-19 positive coughs from both COVID-19 negative and healthy coughs recorded on a …
Cough sound detection and diagnosis using artificial intelligence techniques: challenges and opportunities
Coughing is a common symptom of several respiratory diseases. The sound and type of
cough are useful features to consider when diagnosing a disease. Respiratory infections …
cough are useful features to consider when diagnosing a disease. Respiratory infections …
COVID-19 sounds: a large-scale audio dataset for digital respiratory screening
Audio signals are widely recognised as powerful indicators of overall health status, and
there has been increasing interest in leveraging sound for affordable COVID-19 screening …
there has been increasing interest in leveraging sound for affordable COVID-19 screening …
CR19: A framework for preliminary detection of COVID-19 in cough audio signals using machine learning algorithms for automated medical diagnosis applications
Today, there is a level of panic and chaos dominating the entire world due to the massive
outbreak in the second wave of COVID-19 disease. As the disease has numerous symptoms …
outbreak in the second wave of COVID-19 disease. As the disease has numerous symptoms …
[HTML][HTML] Management of smart and sustainable cities in the post-COVID-19 era: Lessons and implications
Nowadays, the concept of smart sustainable governance is wrapped around basic principles
such as:(i) transparency,(ii) accountability,(iii) stakeholders' involvement, and iv) citizens' …
such as:(i) transparency,(ii) accountability,(iii) stakeholders' involvement, and iv) citizens' …
A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID‐19 based on acoustic cough features
The study aims to assess the detection performance of a rapid primary screening technique
for COVID‐19 that is purely based on the cough sound extracted from 2200 clinically …
for COVID‐19 that is purely based on the cough sound extracted from 2200 clinically …
A deep-learning based multimodal system for Covid-19 diagnosis using breathing sounds and chest X-ray images
Covid-19 has become a deadly pandemic claiming more than three million lives worldwide.
SARS-CoV-2 causes distinct pathomorphological alterations in the respiratory system …
SARS-CoV-2 causes distinct pathomorphological alterations in the respiratory system …
Identifying COVID-19 by using spectral analysis of cough recordings: a distinctive classification study
N Melek Manshouri - Cognitive neurodynamics, 2022 - Springer
Sound signals from the respiratory system are largely taken as tokens of human health.
Early diagnosis of respiratory tract diseases is of great importance because, if delayed, it …
Early diagnosis of respiratory tract diseases is of great importance because, if delayed, it …