Aberrant Driving Behavior Prediction for Urban Bus Drivers in Taiwan Using Heart Rate Variability and Various Machine Learning Approaches: A Pilot Study

Engineering

• Heart Rate Variability 100%
• Learning Approach 100%
• Recurrent 66%
• Support Vector Machine 33%
• Early Stage 33%
• Mean Score 33%
• Random Forest 33%
• Marine Safety 33%

Biochemistry, Genetics and Molecular Biology

• Heart Rate Variability 100%
• Sleep Quality 100%
• Support Vector Machine 33%
• Bayesian Learning 33%
• Random Forest 33%
• Driving Ability 33%
• Somnolence 33%

Medicine and Dentistry

• Heart Rate Variability 100%
• Sleep Quality 100%
• Time Series Analysis 33%
• Somnolence 33%
• Driving Ability 33%