Features, Evaluation and Treatment Coronavirus (COVID-19)

By M. Cascella, M. Rajnik, A. Cuomo, S. Dulebohn, R. Napoli. 2020

3,480 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4744a298def3d661dbaeb6566593786e34f1f38f

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Citations in the corpus

Genotype and phenotype of COVID-19: Their roles in pathogenesis (2020, background): “These similarities of the SARSCoV-2 to the one that caused the SARS outbreak (SARSCoVs) the Coronavirus Study Group of the International Committee on Taxonomy of Viruses termed the virus as SARS-CoV-2.(3) The understanding of the genetic and phenotypic structure of COVID-19 in pathogenesis is import”
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study (2020, result): “Also other studies confirm the relevance of these features and their association with the COVID-19 positivity [8, 30, 32, 44], compared to other kinds of pneumonia [43].”
A review of modern technologies for tackling COVID-19 pandemic (2020, background): “Ongoing discoveries recommended that COVID-19 has respiratory patterns which are different from seasonal in ﬂ uenza and regular cold, eminently that they display tachypnea (fast breathing) [18].”
Development and evaluation of an artificial intelligence system for COVID-19 diagnosis (2020, unknown): “When the SARS-Cov2 virus is inhaled through the airways, it mainly invades the deep bronchioles, causing in ﬂ ammation of the bronchioles, and their surroundings to damage alveolar 43,44 .”
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2): An overview of viral structure and host response (2020, methodology): “In some cases coronaviruses (such as MERS-CoV) have commonly used combinations of interferon-a combined with ribavirin [40,41].”
CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection (2020, background): “Both CT and CXR can indicate abnormalities of lung disease, including COVID-19 [2,3].”
Predicting the trend of indicators related to Covid-19 using the combined MLP-MC model (2021, unknown): “Due to the unknown nature of the Covid-19 disease and its vast consequences, the continuous prediction of related indicators in different regions, time periods, and conditions are of great importance, especially for decision-makers.”
Mapping the Landscape of Artificial Intelligence Applications against COVID-19 (2020, methodology): “For example, one study used a GRU neural network [80] trained on footage from Kinect depth cameras to identify patient respiratory patterns [81]† , based on recent findings suggesting that COVID-19 has respiratory patterns which are distinct from those of the flu and common cold, notably that they e”
Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey (2020, unknown): “There have been attempts made to identify a host reservoir or intermediate carrier that initiated the spread of COVID-19 from animals to humans (Cascella, Rajnik, Cuomo, Dulebohn, & Di Napoli, 2020).”