Research Article

Towards Automated Multiclass Severity Prediction Approach for COVID-19 Infections Based on Combinations of Clinical Data

Table 1

Clinical, laboratory, vital function, and medical history information collected from hospital records.

CharacteristicsOverall appearance

Age, mean (years)52.83

Gender, n (%)
 Male46 (58.97%)
 Female32 (41.03%)

Chronic diseases, n (%)
 Chronic medical illness (hypertension, diabetes, and tumor or any type of cancer)41 (52.56%)

Outcomes, n (%)
 Mortality rate11 (14.1%)
 Survival rate67 (85.9%)

Symptoms onset, n (%)
 Fever53 (67.95%)
 Cough46 (58.97%)
 Generalized weakness52 (66.67%)
 Nasal congestion33 (42.30%)
 Rhinorrhea33 (42.30%)
 Sneezing44 (56.41%)
 Sore throat45 (57.69%)
 Pleuritic chest pain42 (53.84%)
 Diarrhoea41 (52.56%)
 Lost sense of smell71 (91.02%)
 Lost sense of taste72 (92.30%)

Laboratory test, n: abnormal cases based on WHO test range (%)
 Hemoglobin (g/dL)M: 11 (23.91%), F: 15 (46.87%)
 White blood cell count31 (39.74%)
 Lymphocyte count13 (16.66%)
 Platelet count13 (16.66%)
 C-reactive protein (mg/L)48 (61.53%)
 Urea (mmol/L)22 (28.20%)
 Creatinine (µmol/L)56 (71.79%)

Vital signs, n: abnormal cases based on WHO test range (%)
 Saturation of oxygen in the blood (SpO2), (>90, 90–94, and 95–100)46 (58.97%), 21 (26.93%), and 11 (14.10%)