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 |
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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 Ni | 1 | 0 | 0.34 |
Bo-Wei Chen | 2 | 262 | 30.12 |
Nigel M. Allinson | 3 | 381 | 43.90 |
Xujiong Ye | 4 | 14 | 4.67 |