Title
A hybrid model for predicting human physical activity status from lifelogging data.
Abstract
•A real-time monitoring system of individual lifelogging data using wearable sensors.•A novel hybrid model to predict find-grained physical activity status over time.•Competitive model performance with better generality and flexible non-linearity.•A personalised healthcare decision support tool allowing patient empowerment.•Contribute to the recent use of operations research, machine learning in healthcare.
Year
DOI
Venue
2019
10.1016/j.ejor.2019.05.035
European Journal of Operational Research
Keywords
DocType
Volume
Machine learning,Physical activity status prediction,Multi-objective genetic programming,Hidden Markov model
Journal
281
Issue
ISSN
Citations 
3
0377-2217
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Ji Ni100.34
Bo-Wei Chen226230.12
Nigel M. Allinson338143.90
Xujiong Ye4144.67