Independent test of a model to predict severe acute esophagitis

Keyphrases

• Esophagus 100%
• Concurrent Chemotherapy 100%
• Severe Acute 100%
• Acute Esophagitis 100%
• Logistic Function 66%
• Novel Machine 66%
• Treatment Planning 33%
• Univariate Analysis 33%
• Single Institution 33%
• Predictive Models 33%
• Risk Prediction 33%
• Clinical Information 33%
• Significant Predictors 33%
• Predictive Power 33%
• Mean Dose 33%
• Treatment Plan 33%
• Common Terminology Criteria for Adverse Events (CTCAE) 33%
• Machine Learning Techniques 33%
• Goodness-of-fit 33%
• Bootstrap 33%
• Operator Method 33%
• Least Absolute Shrinkage and Selection Operator (LASSO) 33%
• Spearman Rank Correlation 33%
• Lung Carcinoma 33%
• Dose Volume 33%
• Esophagitis 33%
• Definitive Radiotherapy 33%
• Small Cell Carcinoma 33%
• Minimum Effective Dose 33%
• Machine Learning Models 33%
• Bootstrapping Method 33%
• In-house Software 33%
• Thoracic Radiation Therapy 33%
• Dose-volume Parameters 33%
• Two-parameter Logistic Model 33%
• Planning Factors 33%

Pharmacology, Toxicology and Pharmaceutical Science

• Esophagitis 100%
• Chemotherapy 75%
• Adverse Event 25%
• Carcinoma 25%

Immunology and Microbiology

• Esophagitis 100%
• Esophagus 75%
• Carcinoma Cell 25%
• Nomenclature 25%