Machine learning-based prognostic subgrouping of glioblastoma: A multicenter study

Keyphrases

• Glioblastoma 100%
• Subgrouping 100%
• Machine Learning Based 100%
• Patient Management 66%
• Machine Learning Models 66%
• Prognostic Groups 66%
• Clinical Trial Stratification 66%
• Diverse Populations 33%
• Magnetic Resonance Imaging 33%
• Tumor 33%
• Imaging Protocol 33%
• Hazard Ratio 33%
• Kaplan-Meier 33%
• Poor Prognostic 33%
• Image Features 33%
• Treatment Planning 33%
• Prognostic Value 33%
• Classification System 33%
• Cox Proportional Hazards 33%
• Imaging Data 33%
• Diverse Patients 33%
• Machine Learning 33%
• Routine Imaging 33%
• Primary Brain Cancer 33%
• Cox Proportional Model 33%
• Management Experiment 33%
• Routine Clinical Data 33%
• Web Accessibility 33%
• Prognostic Classification 33%
• Complex Imaging 33%

Medicine and Dentistry

• Glioblastoma 100%
• Clinical Trial 66%
• Patient Care 66%
• Neoplasm 33%
• Reproducibility 33%
• Magnetic Resonance Imaging 33%
• Hazard Ratio 33%
• Treatment Planning 33%
• Prognostication 33%
• Brain Cancer 33%