Computer Science
Machine Learning
100%
Learning System
100%
Decision Tree
100%
Logistic Regression
66%
Characteristic Curve
66%
Prediction Model
33%
Contributing Factor
33%
Random Decision Forest
33%
Neural Network Model
33%
Performance Model
33%
Interaction Point
33%
Expert Guidance
33%
Artificial Neural Network
33%
Keyphrases
Medication Orders
100%
Machine Learning
100%
Logistic Regression
28%
Area under the Receiver Operating Characteristic Curve
28%
Gradient Boosting Decision Tree
28%
Area Under the Precision-Recall Curve
28%
Risk Factors
14%
Regression Model
14%
Regression Analysis
14%
Positive Predictive Value
14%
Patient Safety Improvement
14%
Patient Demographics
14%
Race-ethnicity
14%
Prediction Model
14%
Error Rate
14%
Poor Performance
14%
Performance Improvement
14%
Complex Interactions
14%
Predictive Factors
14%
Decision Tree
14%
Model Performance
14%
Clinical Review
14%
Machine Learning Models
14%
Medication Errors
14%
Order Entry
14%
Computerized Provider Order Entry
14%
Clinician Characteristics
14%
Interaction Point
14%
Expert Guidance
14%
Regression Forest
14%
Computerized Provider Order Entry System
14%
Traditional Techniques
14%
Artificial Neural Network Model
14%
Psychology
Regression Analysis
100%
Face Validity
100%
Regression Model
100%
Neural Network
100%
Network Model
100%
Learning Model
100%
Nursing and Health Professions
Decision Trees
100%
Logistic Regression Analysis
66%
Receiver Operating Characteristic
66%
Computerized Physician Order Entry
66%
Predictive Value
33%
Face Validity
33%
Patient Safety
33%
Medication Error
33%
Random Forest
33%
Artificial Neural Network
33%
Sampling Error
33%
Immunology and Microbiology
Decision Trees
100%
Computerized Provider Order Entry
66%
Random Forest
33%
Artificial Neural Network
33%