Analysis of healthcare coverage: A data mining approach

Computer Science

• Data Mining 100%
• Machine Learning Technique 100%
• Experimental Result 50%
• Neural Network 50%
• Classification Accuracy 50%
• Classification Models 50%
• Neural Network Model 50%
• Employment Status 50%
• Decision Tree Model 50%
• Multilayer Perceptron 50%
• Artificial Neural Network 50%

Keyphrases

• Health Insurance Coverage 100%
• Data Mining Techniques 100%
• Predictive Factors 42%
• Popular 28%
• Machine Learning Techniques 28%
• Survey Data 14%
• United States 14%
• Health Disparities 14%
• Sensitivity Analysis 14%
• Predictive Ability 14%
• Marital Status 14%
• Behavioral Risk Factor Surveillance System (BRFSS) 14%
• Employment Status 14%
• Accurate Classification 14%
• Classification Model 14%
• Holdout Sample 14%
• Artificial Neural Network 14%
• Education Status 14%
• Pressing Issues 14%
• Overall Classification Accuracy 14%
• Variable Importance Measure 14%
• Multilayer Perceptron 14%
• Decision Tree Model 14%
• Artificial Neural Network Model 14%

Nursing and Health Professions

• Artificial Neural Network 100%
• Decision Trees 50%
• Behavioral Risk Factor Surveillance System 50%
• Marital Status 50%
• Perceptron 50%