Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study.
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415 citations
Cites methods from "Machine learning using intrinsic ge..."
...Inspirationally, within a short period of time since COVID-19 outbreak, advanced machine learning techniques have been used in taxonomic classification of COVID-19 genomes (8), CRISPR-based COVID-19 detection assay (6), survival prediction of severe COVID-19 patients (11), and discovering potential drug candidates against COVID-19 (4)....
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315 citations
239 citations
172 citations
Cites methods from "Machine learning using intrinsic ge..."
..., case identifications [51], classification of novel pathogens [52], modification of SIR-based models [53], diagnosis [54,55], survival prediction [56], and ICU demand prediction [57]....
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163 citations
Cites methods from "Machine learning using intrinsic ge..."
...We refer to the emerging literature on the relationship among air pollution and virus epidemic diffusion (Alimadadi et al., 2020; Barstugan et al., 2020; Punn et al., 2020; Randhawa et al., 2020; and Tuli et al., 2020) to rely on a ML methodology....
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...Second, following the empirical strategy employed by an emerging air pollution-virus epidemic literature (Alimadadi et al., 2020; Barstugan et al., 2020; Punn et al., 2020; Randhawa et al., 2020; Tuli et al., 2020), this study applies Artificial Neural Networks (ANNs) experiments and used a Machine Learning (ML) approach....
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References
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