| | Reference | Features |
| | [19] | ECG, PPG, and IP |
| | [20] | EDA, SPO2, body temperature, systolic and diastolic blood pressure, and heart rate |
| | [21] | Age, gender, fever, nausea, shortness of breath, diarrhea, coryza, cough, myalgia, loss of smell or anosmia, and living with a confirmed case |
| | [22] | Age, gender, cough, short speech utterances, counting, and nonspeech voicing |
| | [23] | User IDs, timestamps, geospatial information, and textual information of each message |
| | [24] | Patient’s data, body temperature, infection site, symptoms, and signs |
| | [25] | Nasal swab, lab-confirmed flu, influenza-like illness, suspected flu, viral syndrome, myalgias, rhinorrhea, viral, fever, coughing, chills, sore throat, malaise, arthralgia, pneumonia, wheezing, hoarseness, cervical lymphadenopathy, headache, hemoptysis, fatigue, diarrhea, conjunctivitis, dyspnea, anorexia, nausea, chest pain, cyanosis, pain with eye movement, photophobia, and abdominal cramps |
| | [26] | Mean corpuscular hemoglobin concentration, eosinophils count, albumin, prothrombin international normalized ratio, prothrombin activity%, eosinophils%, lymphocyte %, monocyte %, gamma-glutamyltransferase, erythrocyte count, creatinine, alkaline phosphatase, leukocyte count, bilirubin total, aspartate aminotransferase, hematocrit, mean platelet volume, hemoglobin, basophils count, glucose, urea, alanine aminotransferase, age, neutrophils pH count, monocyte count, thrombocytes count, mean corpuscular volume, lymphocyte count, sodium in serum, potassium in serum, neutrophils %, mean corpuscular hemoglobin, bilirubin direct, basophils %, and erythrocyte distribution width |
| | [27] | Bilirubin, ALT, AST, LDH, CRP, lymphocytes, creatinine, monocytes, neutrophils, red cell distribution width, platelets, eosinophils, mean corpuscular hemoglobin, leukocytes, mean corpuscular volume, hemoglobin, hematocrit, basophils, mean corpuscular hemoglobin concentration, and RBCs |
| | [28] | Age, gender, Charlson’s score, previous hospital admission, hospital admission from home, hospital admission from long-term care facility, hospital admission from medical wards, hospital admission from surgical wards, sepsis, fever, previous antifungal therapy, previous antibiotic therapy, in-hospital antibiotic therapy, in-hospital MHIA therapy, steroids during hospitalization, in-hospital immunosuppressants, concomitant infection, previous CDI, PICC, NGT, PN, UC, CVC, recent abdominal surgery, recent nonabdominal surgery, coronary heart disease, heart failure, COPD, diabetes, chronic kidney disease, dialysis, liver disease, pancreatitis, peripheral vascular disease, cerebrovascular disease, dementia, hemiplegia, connective tissue disease, peptic ulcer, leukemia or lymphoma, solid cancer, and metastatic cancer |
| | [29] | Age, gender, White race, Charlson-Deyo’s score, prior CDI, healthcare-associated CD, immunosuppression, solid organ transplant, metastatic cancer, hypertension, congestive heart failure, diabetes mellitus, chronic kidney disease, depression, concurrent antibiotic use, prior fluoroquinolone use, proton pump inhibitor use, fever, systolic blood pressure, mechanical ventilation, sodium, creatinine, albumin, total bilirubin, white blood cell count, hemoglobin, platelets, ribotypes, positive stool toxin by enzyme immunoassay, polymerase chain reaction cycle threshold, 30-day ICU admission, attributable 30-day ICU admission, 30-day colectomy, attributable 30-day colectomy, 30-day mortality, attributable 30-day mortality, and severe CDI |
| | [30] | History, demographics, and clinical data (gender, age, BMI, past medical history of comorbidities, weight, height, history of smoking, level of consciousness, initial vital signs, RR, O2Sat, PR, SBP, DBP, and temperature)
Laboratory data (aspartate aminotransferase, monocytes, ALT, ALP, total and direct bilirubin, hemoglobin, WBC, pH, PCO2,HCO3, lymphocytes, CRP, Plt, Cr, BUN, PT, PTT,INR, PCT, sodium, potassium, neutrophils, and eosinophils)
Radiological data (type of parenchymal abnormality, emphysema, axial and craniocaudal distribution, pleural effusion, and pericardial effusion)
Extracted radiomic features (shape features, gray-level run length matrix, neighboring gray tone difference matrix, gray-level size zone matrix, gray-level cooccurrence matrix, gray-level dependence matrix, and first-order statistics) |
| | [31] | 100 prominent features |
| | [32] | Age, gender, fever, fatigue, cough, WBC count |
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