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Keyphrases
Machine Learning Techniques
100%
Percutaneous Coronary Intervention
100%
Congestive Heart Failure
100%
Patient Prognosis
100%
Machine Learning
83%
Area under the Curve
66%
Confidence Interval
50%
Random Forest Regression
50%
Heart Failure Hospitalization
50%
Patients at Risk
50%
In-hospital Mortality
50%
High-risk Population
33%
Cardiovascular Mortality
33%
Model Performance
33%
Time-to-event
33%
Net Reclassification Improvement
33%
Advancing Age
16%
Logistic Regression Model
16%
Clinical Parameters
16%
Shock
16%
Mayo Clinic
16%
Pairwise Comparison
16%
High Risk
16%
Predictive Algorithm
16%
Predictive Ability
16%
Logistic Regression
16%
Estimation Model
16%
Receiver Operating Characteristic Curve
16%
Risk Model
16%
Readmission
16%
Regression Method
16%
Predictive Power
16%
Admission Time
16%
At Discharge
16%
Demographic Parameters
16%
Non-linear Pattern
16%
Event Prediction
16%
Nursing and Health Professions
Percutaneous Coronary Intervention
100%
Hospital Readmission
100%
Congestive Heart Failure
100%
Area under the Curve
83%
Confidence Interval
50%
Random Forest
50%
Hospital Mortality
50%
Logistic Regression Analysis
33%
Hospital
16%
High Risk Population
16%
Cardiogenic Shock
16%
Population
16%
Receiver Operating Characteristic
16%
Cardiovascular Mortality
16%
Medicine and Dentistry
Percutaneous Coronary Intervention
100%
Congestive Heart Failure
100%
Hospital Mortality
50%
Logistic Regression Analysis
33%
High Risk Population
16%
Cardiovascular System
16%
Cardiovascular Mortality
16%
Population
16%
Cardiogenic Shock
16%
Cross-Validation
16%