Research Article
A Novel Benchmark Dataset for COVID-19 Detection during Third Wave in Pakistan
Table 2
Features extracted from different feature extraction techniques based on importance.
| | Total features | Random forest | XGB | CatBoost | Chi-square | Clinical expert |
| | Age | | | | | | | Gender | X | | | | X | | Comorbidity | | | X | | | | Cough | X | X | X | | X | | Fever | X | X | X | | X | | Shortness of breath | | X | X | | | | Diarrhea | X | X | X | | X | | Vomiting | X | X | | | X | | Myalgias | | | | | | | Loss of taste or smell | | | | | | | Respiratory rate | | | | | | | Temperature | | | | | | | Pulse oximetry | | | | | | | Bilirubin | | | | | | | ALT | | | | | | | Alkaline phosphatase | | | | | | | Creatinine | | | | | | | CRP | | | | | | | D-Dimer | | | | X | | | Procalcitonin | | | | | | | Ferritin | | | | X | | | TLC | | | | X | | | Platelet count | | | | X | | | LDH | | | | X | | | PT | | | | X | | | APTT | | | | | | | PCR (0, 1) | | | | | | | Chest X-ray (suggestive infiltrates) | X | | | | X | | HRCT scan (chest) | | | | | | | HRCT score out of 40 | | X | X | | | | Pulse | X | X | X | X | X | | Serum albumin | X | X | X | X | X | | BP systolic | X | X | X | X | X | | HB | X | X | X | X | X | | BP systolic | X | X | X | X | X | | Lymphocyte count | X | X | X | X | X | | IL6 | X | X | X | X | X |
|
|