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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 …
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 …
The INTERSPEECH 2021 computational paralinguistics challenge: COVID-19 cough, COVID-19 speech, escalation & primates
The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four different
problems for the first time in a research competition under well-defined conditions: In the …
problems for the first time in a research competition under well-defined conditions: In the …
Sounds of COVID-19: exploring realistic performance of audio-based digital testing
To identify Coronavirus disease (COVID-19) cases efficiently, affordably, and at scale, recent
work has shown how audio (including cough, breathing and voice) based approaches can …
work has shown how audio (including cough, breathing and voice) based approaches can …
[HTML][HTML] Detection of COVID-19 from voice, cough and breathing patterns: Dataset and preliminary results
V Despotovic, M Ismael, M Cornil, R Mc Call… - Computers in Biology …, 2021 - Elsevier
COVID-19 heavily affects breathing and voice and causes symptoms that make patients'
voices distinctive, creating recognizable audio signatures. Initial studies have already …
voices distinctive, creating recognizable audio signatures. Initial studies have already …
The voice of COVID-19: Breath and cough recording classification with temporal decision trees and random forests
Symbolic learning is the logic-based approach to machine learning, and its mission is to
provide algorithms and methodologies to extract logical information from data and express it …
provide algorithms and methodologies to extract logical information from data and express it …
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 …
Machine learning-and statistical-based voice analysis of Parkinson's disease patients: A survey
The preliminary diagnosis and evaluation of the presence and/or severity of Parkinson's
disease is crucial in controlling the progress of the disease. Real-time, non-invasive …
disease is crucial in controlling the progress of the disease. Real-time, non-invasive …
[HTML][HTML] Artificial intelligence can improve patient management at the time of a pandemic: the role of voice technology
T Jadczyk, W Wojakowski, M Tendera, TD Henry… - Journal of medical …, 2021 - jmir.org
Artificial intelligence–driven voice technology deployed on mobile phones and smart
speakers has the potential to improve patient management and organizational workflow …
speakers has the potential to improve patient management and organizational workflow …
A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19?
For COVID-19, the need for robust, inexpensive, and accessible screening becomes critical.
Even though symptoms present differently, cough is still taken as one of the primary …
Even though symptoms present differently, cough is still taken as one of the primary …