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Keyphrases
Stroke Registry
100%
Area under the Curve
100%
Machine Learning Models
100%
Acute Ischemic Stroke
100%
Registry Study
100%
Early Outcomes
100%
Imbalanced Data
75%
Modified Rankin Scale
75%
Shapley Additive Explanations
75%
Mean Area
75%
Resampling
50%
Hospital Discharge
50%
Deep Neural Network
50%
Random Forest
50%
Outcome Prediction
50%
Machine Learning Prediction
50%
Model Evaluation
50%
National Institutes of Health Stroke Scale
50%
Stroke Outcome
25%
Stroke Patients
25%
Blood Pressure
25%
Support Vector Machine
25%
Oversampling Technique
25%
Receiver Operating Characteristic Curve
25%
Clinically Significant
25%
Feature Value
25%
Acute Stage
25%
Health Systems
25%
Synthetic Minority
25%
Resampling Methods
25%
Ischemic Stroke
25%
Model Explanation
25%
Feature Ranking
25%
Early Stroke
25%
Hemogram
25%
Random Undersampling
25%
Light Gradient Boosting Machine
25%
Early Life Conditions
25%
Explanatory Method
25%
Laboratory-based Surveillance
25%
Neurological Level
25%
Diabetes Mellitus
25%
Acute Stroke Management
25%
Clinical Decisions
25%
Nursing and Health Professions
Brain Ischemia
100%
Deterioration
100%
Area under the Curve
57%
Cerebrovascular Accident
42%
Rankin Scale
42%
Hospital Discharge
28%
Random Forest
28%
National Institutes of Health Stroke Scale
28%
Neural Network
28%
Blood Pressure
14%
Healthcare System
14%
Diabetes Mellitus
14%
Receiver Operating Characteristic
14%
Leukocyte Differential Count
14%
Support Vector Machine
14%
Medicine and Dentistry
Deterioration
100%
Brain Ischemia
100%
Area under the Curve
57%
Apoplexy
42%
Modified Rankin Scale
42%
National Institutes of Health Stroke Scale
28%
Leukocyte
14%
Blood Pressure
14%
Diabetes Mellitus
14%
Long-Term Outcome
14%
Immunology and Microbiology
Random Forest
100%
Blood Pressure
50%
Leukocyte Differential Count
50%
Support Vector Machine
50%
Psychology
Learning Model
100%
Neural Network
50%
Blood Pressure
25%
Stroke Patient
25%
Long-Term Outcome
25%