Keyphrases
Prediction Model
100%
Clinically Significant
100%
Multi-cancer
100%
C-statistic
28%
Logistic Regression
28%
Internal-external
28%
Machine Learning Models
28%
Balanced Accuracy
28%
Cancer Types
28%
Least Absolute Shrinkage and Selection Operator (LASSO)
14%
Ovarian Cancer
14%
Model Discrimination
14%
Bladder
14%
Logistic Regression Model
14%
Clinical Applicability
14%
Extreme Gradient Boosting(XGBoost)
14%
External Validation
14%
Advanced Machine Learning
14%
Artificial Neural Network
14%
Support Vector Machine
14%
Cancer Population
14%
EORTC QLQ-C30
14%
Predictor Variables
14%
Prostate Cancer
14%
Supportive Care
14%
Medicine and Dentistry
Malignant Neoplasm
100%
Logistic Regression Analysis
100%
Cancer Types
66%
Supportive Care
33%
Cross-Validation
33%
Bladder
33%
Prostate Cancer
33%
Clinician
33%
Ovarian Cancer
33%