Random RotBoost: An Ensemble Classification Method Based on Rotation Forest and AdaBoost in Random Subsets and Its Application to Clinical Decision Support

Keyphrases

• Clinical Decision Support 100%
• AdaBoost 100%
• Rotation Forest 100%
• Ensemble Classification 100%
• RotBoost 100%
• Number of Features 66%
• Clinical Decisions 33%
• Big Data 33%
• Classification Performance 33%
• Computational Cost 33%
• Automatically Generate 33%
• Medical Industry 33%
• Overfitting 33%
• Large Amount of Data 33%
• Rotational Method 33%
• Bathing 33%
• Medical Dataset 33%
• Feature-free 33%
• Commons Dilemma 33%
• Random Rotation 33%
• Rotation Process 33%

Computer Science

• Classification Method 100%
• clinical decision support 100%
• Classification Performance 50%
• Big Data 50%
• Computational Cost 50%
• Great Number 50%
• Rotational Data 50%