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Machine Learning-Based Survival Prediction Models for Progression-Free and Overall Survival in Advanced-Stage Hodgkin Lymphoma
Rasmus Rask Kragh Jørgensen
*
, Fanny Bergström
, Sandra Eloranta
, Marianne Tang Severinsen
, Knut Bjøro Smeland
, Alexander Fosså
, Jacob Haaber Christensen
, Martin Hutchings
,
Rasmus Bo Dahl-Sørensen
, Peter Kamper
, Ingrid Glimelius
, Karin E Smedby
, Susan K Parsons
, Angie Mae Rodday
, Matthew J Maurer
, Andrew M Evens
, Tarec C El-Galaly
, Lasse Hjort Jakobsen
*
Corresponding author af dette arbejde
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Keyphrases
Advanced-stage Hodgkin Lymphoma
100%
Cancer Registry
7%
Concordance Index
15%
Cox Proportional Hazards
7%
Development Cohort
30%
DevelopmentDevelopment
7%
External Validation
7%
Flexible Parametric Model
7%
Internal Model
7%
International Prognostic Index
100%
Lymphoma
15%
Machine Learning Approach
7%
Machine Learning Based
100%
Machine Learning Models
30%
Machine Learning Techniques
7%
Model Evaluation
7%
Model Validation
7%
Model-driven Development
7%
Nested Cross-validation
7%
Norway
7%
Overall Survival
100%
Patient Data
15%
Penalized Regression
7%
Performance Prediction
7%
Predictive Survival Models
7%
Prognostic Model
7%
Prognostic Score Model
15%
Progression-free Survival
100%
Risk Stratification
7%
Single Model
7%
Survival Prediction Model
100%
Validation Cohort
30%
Medicine and Dentistry
Area under the Curve
20%
Cancer Registry
20%
Cross-Validation
20%
Hodgkin's Lymphoma
100%
International Prognostic Index
80%
Overall Survival
100%
Patient-Data
40%
Prediction Model
100%
Prognostic Model
20%
Progression Free Survival
100%
Proportional Hazards Model
20%
Survival Prediction
100%
Pharmacology, Toxicology and Pharmaceutical Science
Cancer Registry
20%
Cross-Validation
20%
Hodgkin Disease
100%
Overall Survival
100%
Progression Free Survival
100%
Survival Prediction
100%