Development of an intelligent e-healthcare system for the domestic care industry

Computer Science

• Healthcare Service 100%
• Association Rules 100%
• fuzzy association rule 100%
• Internet-Of-Things 100%
• Care Management 66%
• Connected System 33%
• Data Mining Technique 33%
• Data Record 33%
• Behavior Data 33%
• Data Analysis Phase 33%
• Data Attribute 33%
• Data Collection Phase 33%
• Knowledge Discovery in Database 33%
• Case Study 33%
• Measurement Data 33%
• Monitoring Data 33%
• Demographic Data 33%
• Artificial Intelligence 33%
• Fuzzy Set 33%

Keyphrases

• E-health System 100%
• Domestic Care 100%
• Fuzzy Association Rule Mining 50%
• Internet of Things 50%
• Elderly Care Services 50%
• Healthcare Management 33%
• Elderly Care 33%
• Management Tasks 33%
• Vital Signs Monitoring 16%
• Health Care Services 16%
• Internet Use 16%
• Measure Data 16%
• Design Methodology 16%
• Phase Information 16%
• Fuzzy Sets 16%
• Demographic Data 16%
• High Demand 16%
• Monitoring Data 16%
• Behavioral Data 16%
• Caregivers 16%
• Data Mining Techniques 16%
• Hidden Relationship 16%
• Data Reporting 16%
• E-healthcare 16%
• Artificial Intelligence Algorithm 16%
• Database Use 16%
• Rule Based Artificial Intelligence 16%
• Health Measurement 16%
• Proactive Decision Support 16%
• Knowledge Discovery in Databases 16%
• Overall Service Quality 16%
• Service Responsiveness 16%
• Mining Rules 16%
• Data Behavior 16%