Title | ||
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Machine Learning Model for Frailty Detectxion using Electric Power Consumption Data from Smart Meter |
Abstract | ||
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With the increase of the number of the elderly, healthcare systems to support the daily life and wellbeing of the elderly attracted attention. Especially, frailty syndrome is one of the most significant challenges faced by many countries because of its high association with mortality and hospitalization. Recently, with the progress of ICT (Information and Communication Technology), many frailty de... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/DSAA53316.2021.9564127 | 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA) |
Keywords | DocType | ISBN |
Power demand,Senior citizens,Medical services,Machine learning,Smart meters,Data models,Robustness | Conference | 978-1-6654-2099-0 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kijun Kim | 1 | 0 | 0.34 |
Shimpei Ohsugi | 2 | 0 | 0.34 |
Noboru Koshizuka | 3 | 225 | 46.68 |