Improving students' daily life stress forecasting using lstm neural networks

Business & Economics

• Life Stress 100%
• Neural Networks 72%
• Support Vector Machine 41%
• Logistic Regression 34%
• Mobile Phone 16%
• Behavioural Change 14%
• Time Series Models 12%
• Overlapping 12%
• Sleep 12%
• Network Model 12%
• Exercise 9%
• Schedule 9%
• Health 8%

Medicine & Life Sciences

• Psychological Stress 60%
• Support Vector Machine 49%
• Students 42%
• Logistic Models 26%
• Computer Neural Networks 26%
• Cell Phone 24%
• Long-Term Memory 23%
• Short-Term Memory 19%
• Appointments and Schedules 16%
• Datasets 16%
• Sleep 15%
• Exercise 13%
• Health 9%

Engineering & Materials Science

• Students 44%
• Neural networks 36%
• Logistic regression 26%
• Support vector machines 19%
• Set theory 15%
• Physiology 14%
• Long short-term memory 14%
• Sleep 12%
• Cellular telephones 11%
• Time series 10%
• Health 8%