Computer Science
Interpretability
100%
Logistic Regression
100%
Evaluation Models
50%
Selection Operator
50%
Random Decision Forest
50%
Baseline Model
50%
Predictive Model
50%
Clinical Application
50%
Predictive Performance
50%
Predictive Accuracy
50%
Conventional Method
50%
Model Calibration
50%
Stepwise Regression
50%
Medical Applications
50%
Model Selection
50%
Decision Making
50%
Keyphrases
Electronic Health Records
100%
Mortality Prediction
100%
Clinical Score
100%
AutoScore
100%
Point-based
27%
Scoring Model
27%
Logistic Regression
18%
Area under the Curve
18%
Medical Center
9%
Clinical Application
9%
Clinical Research
9%
Prediction Accuracy
9%
Israel
9%
Model Selection
9%
Benchmark Dataset
9%
Evaluation Model
9%
Future Users
9%
Patient Care
9%
Clinical Decision-making
9%
Healthcare Professionals
9%
Predictive Models
9%
Medical Applications
9%
Model Calibration
9%
Intensive Care
9%
Risk Score
9%
Stepwise Regression
9%
Performance Prediction
9%
Receiver Operating Characteristic Analysis
9%
Least Absolute Shrinkage and Selection Operator (LASSO)
9%
Random Forest
9%
Background Risk
9%
Model Complexity
9%
Clinical Risk Stratification
9%
Variable Transformation
9%
Risk Score Model
9%
Scoring Tool
9%
Score Generation
9%
Fine Model
9%
Selection Score
9%
Accuracy Calibration
9%
Deaconesses
9%
Medical Resource Allocation
9%
Variable Ranking
9%
Medicine and Dentistry
Electronic Health Record
100%
Logistic Regression Analysis
100%
Clinical Research
50%
Patient Care
50%
Intensive Care
50%
Model Selection
50%
Risk Stratification
50%
Clinical Decision Making
50%
Mathematics
Scoring Model
100%
Logistic Regression
50%
Interpretability
50%
Predictive Accuracy
25%
Predictive Model
25%
Superiority
25%
Predictive Performance
25%
Model Selection
25%
Clinical Decision
25%
Stepwise Regression
25%
Complex Model
25%
Least Absolute Shrinkage and Selection Operator
25%
Biochemistry, Genetics and Molecular Biology
Electronic Health Record
100%
Clinical Research
50%
Random Forest
50%
Clinical Decision Making
50%