An Empirical Study of Factor Identification in Smart Health-Monitoring Wearable Device

Mathematics

• Health Monitoring 100%
• Environmental Factors 74%
• Empirical Study 59%
• Product Development 28%
• Maintenance 20%
• Human-machine Interaction 17%
• Principle Component Analysis 14%
• Customer Satisfaction 14%
• Statistical Learning 11%
• Feature Selection 11%
• Resource Allocation 11%
• Accessibility 10%
• Healthcare 10%
• Analysis of variance 9%
• Customers 8%
• Regression Analysis 8%
• Hypothesis Testing 8%
• Elimination 8%
• Data analysis 7%
• Review 6%
• Framework 4%

Engineering & Materials Science

• Wearable technology 58%
• Health 38%
• Monitoring 29%
• Product development 26%
• Customer satisfaction 15%
• Analysis of variance (ANOVA) 13%
• Regression analysis 13%
• Health care 13%
• Resource allocation 11%
• Feature extraction 10%
• Testing 6%

Social Sciences

• environmental factors 48%
• monitoring 38%
• health 23%
• customer 15%
• rating 12%
• Health care quality 12%
• hypothesis testing 10%
• learning method 8%
• analysis of variance 8%
• regression analysis 7%
• new technology 7%
• interaction 4%
• resources 3%
• time 3%