Table 4.
Description of the subject categories used in analysis, the AUC performance and the sensitivity at 95% specificity obtained using the BLSTM classifier.
| Subject sub-population | Count COVID/Non-COVID | AUC (%) | Sensitivity at 95% specificity | p-value |
|---|---|---|---|---|
| Gender | ||||
| Male | 51/209 | 92.7 (89.3–95.4) | 64.7 (37.3–76.7) | 0.901 |
| Female | 45/82 | 90.3 (85.1–95.1) | 64.4 (48.9–80.0) | 0.814 |
| Age | ||||
| 15–30 | 39/143 | 90.0 (85.1–94.3) | 59.0 (41.7–76.5) | 0.179 |
| 30–45 | 20/86 | 89.8 (80.8–96.4) | 55.0 (33.3–76.5) | 0.242 |
| 45–60 | 22/35 | 94.4 (89.6–98.6) | 68.2 (32.1–95.5) | 0.590 |
| 60–90 | 8/6 | 91.7 (75.0–100.0) | 50.0 (25.0–100.0) | 0.129 |
| Vaccination | ||||
| With | 66/57 | 86.3 (80.8–91.3) | 31.8 (14.1–70.4) | p < 0.050 |
| Without | 30/234 | 88.8 (82.3–93.9) | 53.3 (31.2–78.9) | 0.260 |
| Mask | ||||
| With | 45/36 | 83.8 (76.1–90.6) | 46.7 (12.2–70.2) | p < 0.050 |
| Without | 51/255 | 90.9 (86.4–94.9) | 64.7 (50.0–80.7) | 0.151 |
| English Proficiency | ||||
| With | 87/280 | 91.4 (88.4–94.2) | 58.6 (48.8–75.6) | 0.899 |
| Without | 9/11 | 86.9 (71.0–100.0) | 44.4 (16.7–100.0) | 0.379 |
| Date of Collection | ||||
| Before Dec. 21 | 47/147 | 91.1 (86.6–94.8) | 55.3 (44.7–75.0) | 0.114 |
| After Dec. 21 | 49/144 | 92.3 (88.5–95.8) | 63.3 (38.6–78.2) | 0.123 |
| Collection Province | ||||
| Karnataka | 50/95 | 95.4 (91.6–98.3) | 82.0 (42.6–97.3) | 0.444 |
| Others | 46/196 | 88.5 (83.9–92.7) | 54.3 (38.6–74.4) | 0.568 |
| Prevalence | ||||
| 20% | 72/288 | 90.9 (87.5–94.0) | 63.6 (45.6–72.7) | 0.814 |
| 10% | 32/288 | 91.2 (86.4–95.4) | 63.1 (40.3–77.0) | 0.783 |
| 5% | 15/285 | 88.9 (80.4–95.7) | 56.0 (29.1–75.2) | 0.574 |
| 2.5% | 7/273 | 88.8 (82.8–98.0) | 51.4 (34.0–87.6) | 0.542 |
The p-values correspond to the t-test performed between scores from the full test set and the ones from the population sub-group considered.