Pay attention to the cough

Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method

“…The training of the network depends on iteration, bias, weight adjustment, learning rate, and optimization. It effectively detects COVID-19 coughs [ 32 , 37 , 38 ] and other types of coughs. Extreme Gradient Boosting (XGBoost) classifier is a decision-tree-based ensemble ML technique that utilizes a gradient boosting structure.…”

“…Many studies [ 2 , 14 , 15 , 17 , [37] , [38] , [39] , [40] , [41] ] considered the analysis of cough audio signals as a workable course of action for an initial COVID-19 diagnosis. In Ref.…”

“…The authors used microbiologically confirmed COVID-19 coughs and obtained an AUC score of 0.72 using the CNN architecture ResNet18. Using cough sounds, Ankit et al [ 37 ] proposed an AI framework for diagnosing COVID-19 with interpretable features. The proposed framework combined cough sound characteristics with patient symptoms during empirical evaluation, and included four cough categories, COVID-19, asthma, bronchitis and healthy.…”

AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath

“…Previous works have put in evidence that the analysis of breath [ 8 , 9 ], cough [9] , [10] , [11] , [12] and voice [13] can be used as a precious source of information for pattern recognition algorithms, which are able to extract a great amount of patient data (as gender and provenance) and to determinate with high accuracy if the patient suffers from some diseases and disorders. The most part of these diseases are respiratory ones (such as asthma, pneumonia, pertussis, Chronical Obstructive Pulmonary Disease or COPD, tuberculosis and, last but not least, COVID-19).…”

“…Taking into consideration the high percentage of asymptomatic yet contagious COVID-19 patients, researchers have argued that forced-cough (i.e. voluntary cough [11] ) keeps the same biomarker potential of the spontaneous one, as data have wildly proved [ [10] , [11] , [12] , [14] , [15] , [16] , [17] , [18] , [19] ] . In fact, half of the asymptomatic cases present CT abnormalities [3] .…”