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 …

Cough sound detection and diagnosis using artificial intelligence techniques: challenges and opportunities

KS Alqudaihi, N Aslam, IU Khan, AM Almuhaideb… - Ieee …, 2021 - ieeexplore.ieee.org
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 …

The INTERSPEECH 2021 computational paralinguistics challenge: COVID-19 cough, COVID-19 speech, escalation & primates

BW Schuller, A Batliner, C Bergler, C Mascolo… - arXiv preprint arXiv …, 2021 - arxiv.org
The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four different
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

J Han, T Xia, D Spathis, E Bondareva, C Brown… - NPJ digital …, 2022 - nature.com
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 …

[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 …

COVID-19 sounds: a large-scale audio dataset for digital respiratory screening

T Xia, D Spathis, J Ch, A Grammenos… - Thirty-fifth conference …, 2021 - openreview.net
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 …

The voice of COVID-19: Breath and cough recording classification with temporal decision trees and random forests

F Manzella, G Pagliarini, G Sciavicco, IE Stan - Artificial Intelligence in …, 2023 - Elsevier
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 …

[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 …

From personalized medicine to population health: a survey of mHealth sensing techniques

Z Wang, H Xiong, J Zhang, S Yang… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Mobile sensing systems have been widely used as a practical approach to collect
behavioral and health-related information from individuals and to provide timely intervention …

A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19?

KC Santosh, N Rasmussen, M Mamun… - PeerJ Computer Science, 2022 - peerj.com
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 …