Table 5. The summary of detecting COVID-19 from genome sequence via an algorithm.

Reference	Algorithm	Performance	Contribution	Benefit
Qiang et al. (2020)	Random Forest	Accuracy: 98.18%	Able to detect none human COVID-19 origin from spike protein	used in COVID-19 genome mutation surveillance
		Mathew Correlation Coefficient: 0.9638
Randhawa et al. (2020)	Decision Tree	Accuracy: 100%	Successfully used intrinsic viral genomic signatures to classify COVID-19 with 100% accuracy	The DT-DSP is a reliable real-time alternative for the classification of taxonomic