Keyphrases
Disease Severity
100%
Scoring System
100%
Complete Blood Count
100%
COVID-19
100%
Disease Prediction
100%
Mortality Prediction
33%
Area under the Curve
33%
Mortality Risk
33%
Validation Cohort
16%
China
16%
Disease-specific Mortality
16%
Web Application
16%
Platelet Count
16%
Neutrophil Count
16%
Bangladesh
16%
Dhaka
16%
Monocytes
16%
Width Parameter
16%
Lymphocyte Count
16%
Blood Biomarkers
16%
Hospital Admission
16%
Regression-based Method
16%
Risk of Death
16%
Internal Validation
16%
Clinical Assessment
16%
Parameter Dependence
16%
Development Validation
16%
Machine Learning Based
16%
Scoring Tool
16%
Nomogram
16%
Prediction of Death
16%
Early Prediction
16%
Multivariate Logistic Regression
16%
Prognostic Model
16%
Key Biomarkers
16%
Red Cell Distribution Width
16%
Low-resource Countries
16%
Probability of Death
16%
White Blood Cell Count
16%
Feature Selection Methods
16%
Medical Doctors
16%
Predicting Diseases
16%
Wuhan
16%
Medical Colleges
16%
Random Forest Feature Selection
16%
Nursing and Health Professions
Disease Severity
100%
Disease
100%
Scoring System
100%
Blood Cell Count
100%
Biological Marker
57%
Area under the Curve
28%
Low Risk Population
28%
Logistic Regression Analysis
14%
Physician
14%
High Risk Population
14%
Leukocyte Count
14%
Lymphocyte Count
14%
Clinical Assessment
14%
Neutrophil Count
14%
Platelet Count
14%
Random Forest
14%
Red Blood Cell Distribution Width
14%
Pharmacology, Toxicology and Pharmaceutical Science
Disease
100%
Disease Severity
100%
Coronavirinae
100%
Biological Marker
57%
Retrospective Study
14%
Immunology and Microbiology
Blood Cell Count
100%
COVID-19
100%
Low Risk Population
33%
Monocyte
16%
High Risk Population
16%
Lymphocyte Count
16%
Platelet Count
16%
Random Forest
16%
Neutrophil Count
16%
Leukocyte Count
16%
Red Blood Cell Distribution Width
16%
Mathematics
Scoring System
100%
Probability Theory
50%
Logistic Regression
50%
Retrospective Study
50%
Material Science
Lymphocyte
100%
Platelet
100%