Long COVID hinders people from normal life and work, posing significant medical and economic challenges. Nevertheless, comprehensive studies assessing its impact on large populations in Asia are still lacking. We tracked over 20,000 patients infected
CONCLUSIONS: There is an urgent need to look at therapeutic strategies and factors which enhance resilience and promote better coping in this population.
The success of the supervised learning process for feedforward neural networks, especially multilayer perceptron neural network (MLP), depends on the suitable configuration of its controlling parameters (i.e., weights and biases). Normally, the
CONCLUSION: The proposed model uses three classifiers and shows promising results by selecting the important features and maximizing the prediction accuracy.
The new coronavirus (COVID-19) pandemic has resulted in the unprecedented production of vaccines. In this context, the possible adverse effects remain to be identified and reported. In this article, we report the case of a young female patient who
CONCLUSIONS: The findings reinforce the importance of enhanced infection control measures in manufacturing sectors, including improved ventilation with possible consideration of CO(2) monitoring, utilising air cleaning interventions in enclosed
The COVID-19 pandemic has posed the greatest threat to global health over the last three years. Due to the temporary shortage of appropriate vaccines, a systematic change in human behaviour is necessary to keep the spread of the virus under control
Automatic facial expression recognition (AFER), sometimes referred to as emotional recognition, is important for socializing. Automatic methods in the past two years faced challenges due to Covid-19 and the vital wearing of a mask. Machine learning
CONCLUSIONS: These findings suggest that LTL can be a useful parameter for predicting disease severity in patients, as individuals with short telomeres may have a higher risk of developing severe COVID-19.