Table 5 Comparative analysis with related work on COVID-19
From: Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis
References | Study target | Data used | Outcome |
|---|---|---|---|
This study | Diagnosis | Omic | AUC = 0.95 |
| Â | Â | Â | Accuracy = 0.988 |
Laguarta et al. [7] | Diagnosis | Cough signal | Accuracy = 0.985 |
Zakir et al. [1] | Diagnosis | Cough signal | Accuracy = 0.940 |
Khanday et al. [25] | Diagnosis | Clinical text | Accuracy = 0.962 |
This study | Severity prediction | Omic | Accuracy = 0.980 |
Overmyer et al. [20] | Severity prediction | Omic | Accuracy = 0.960 |
Shen et al. [17] | Severity prediction | Omic | Accuracy = 0.930 |
Cai et al. [12] | Severity prediction | CT image | AUC = 0.928 |
Aktar et al. [8] | Severity prediction | Blood samples | Accuracy = 0.930 |