Heart Failure Prediction Using Artificial Intelligence Methods

Keyphrases

• K-means 100%
• Artificial Intelligence Techniques 100%
• Heart Failure Prediction 100%
• Heart Disease 66%
• RBF Kernel 66%
• Effective Treatment 33%
• Cluster Analysis 33%
• Early Detection 33%
• Accurate Diagnosis 33%
• Health Anxiety 33%
• Valuable Insight 33%
• Global Health 33%
• Categorical Variables 33%
• Unsupervised Learning Techniques 33%
• Personalized Care 33%
• Health Strategy 33%
• Support Vector Machine Model 33%
• Clustering Methods 33%
• Classification Model 33%
• Feature Extraction 33%
• Positive Instances 33%
• Support Vector Machine Algorithm 33%
• F1 Score 33%
• Cluster Performance 33%
• Hidden Patterns 33%
• Recall Score 33%
• Precision-recall 33%
• Heart Disease Classification 33%
• Feature Scaling 33%
• Precision Score 33%
• Categorical Features 33%
• Mean Clustering 33%
• Variable Scaling 33%

Computer Science

• K-Means Clustering 100%
• Artificial Intelligence 100%
• Radial Basis Function 66%
• Support Vector Machine 66%
• Unsupervised Learning 33%
• Classification Models 33%
• Clustering Method 33%
• Learning Technique 33%
• Early Detection 33%
• Clustering Analysis 33%
• Categorical Variable 33%
• Personalized Care 33%
• Feature Extraction 33%
• Positive Instance 33%
• Feature Scaling 33%