Identifying at-risk university students: A system for longitudinal monitoring of sleep health.
Iva BojicJintana LiuQi Chwen OngAshwini LawateMalar PalaiyanMay O. LwinJohn Arputhan AbisheganadenYin Leng ThengMoon-ho Ringo HoMichael Yong Hwa ChiaJosip CarPublished in: ICDH (2023)
Keyphrases
- university students
- early warning
- mobile learning
- learning outcomes
- chronic disease
- health monitoring
- monitoring system
- continuous monitoring
- health care
- questionnaire survey
- health status
- perceived usefulness
- randomly assigned
- real time
- high risk
- decision making
- decision support system
- risk management
- pedagogical agents
- risk assessment
- medical care
- obstructive sleep apnea
- vital signs
- learning experience
- learning activities
- collaborative learning
- mobile devices
- reinforcement learning
- machine learning
- databases