[HTML][HTML] Diagnosing COVID-19 using artificial intelligence: A comprehensive review
Abstract In early March 2020, the World Health Organization (WHO) proclaimed the novel
COVID-19 as a global pandemic. The coronavirus went on to be a life-threatening infection …
COVID-19 as a global pandemic. The coronavirus went on to be a life-threatening infection …
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 …
[HTML][HTML] Utilizing CNN-LSTM techniques for the enhancement of medical systems
COVID-19 is one of the most chronic and serious infections of recent years due to its
worldwide spread. Determining who was genuinely affected when the disease spreads …
worldwide spread. Determining who was genuinely affected when the disease spreads …
[HTML][HTML] Machine learning approach for detecting covid-19 from speech signal using mel frequency magnitude coefficient
The Covid-19 pandemic is one of the most significant global health concerns that have
emerged in this decade. Intelligent healthcare technology and techniques based on speech …
emerged in this decade. Intelligent healthcare technology and techniques based on speech …
[HTML][HTML] Development and validation of a respiratory-responsive vocal biomarker–based tool for generalizable detection of respiratory impairment: Independent case …
S Kaur, E Larsen, J Harper, B Purandare… - Journal of Medical …, 2023 - jmir.org
Background Vocal biomarker–based machine learning approaches have shown promising
results in the detection of various health conditions, including respiratory diseases, such as …
results in the detection of various health conditions, including respiratory diseases, such as …
Intersection of machine learning and mobile crowdsourcing: a systematic topic-driven review
During the past decade of the big data era, mobile crowdsourcing has emerged as a popular
research area, leveraging the collective intelligence and engagement of a vast number of …
research area, leveraging the collective intelligence and engagement of a vast number of …
A novel snore detection and suppression method for a flexible patch with MEMS microphone and accelerometer
C He, J Tan, X Jian, G Zhong, H Wu… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Sleep apnea impacts more and more people all over the world, and obstructive sleep apnea
of which is the most frequent. Hence, research on snoring detection and related suppression …
of which is the most frequent. Hence, research on snoring detection and related suppression …
[HTML][HTML] Improvise approach for respiratory pathologies classification with multilayer convolutional neural networks
Every respiratory-related checkup includes audio samples collected from the individual,
collected through different tools (sonograph, stethoscope). This audio is analyzed to identify …
collected through different tools (sonograph, stethoscope). This audio is analyzed to identify …
[HTML][HTML] COVID-19 activity screening by a smart-data-driven multi-band voice analysis
G Silva, P Batista, PM Rodrigues - Journal of Voice, 2022 - Elsevier
COVID-19 is a disease caused by the new coronavirus SARS-COV-2 which can lead to
severe respiratory infections. Since its first detection it caused more than six million …
severe respiratory infections. Since its first detection it caused more than six million …
[PDF][PDF] SRC: Superior Robustness of COVID-19 Detection from Noisy Cough Data Using GFCC.
This research is focused on a highly effective and untapped feature called gammatone
frequency cepstral coefficients (GFCC) for the detection of COVID-19 by using the nature …
frequency cepstral coefficients (GFCC) for the detection of COVID-19 by using the nature …