We developed a method for extracting feature patterns from multivariate data using a network of coupled phase oscillators subject to an analogue of the Kuramoto model for collective synchronization. Our method may be called data synchronization. We applied data synchronization to the care-needs-certification data, provided by Otsu City as a historical old city near Kyoto City, in the Japanese public long-term care insurance program to find the trend of the major patterns of the aging process for elderly people needing nursing care.
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Takaya MIYANO, Takako TSUTSUI, "Finding Major Patterns of Aging Process by Data Synchronization" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 9, pp. 2514-2519, September 2008, doi: 10.1093/ietfec/e91-a.9.2514.
Abstract: We developed a method for extracting feature patterns from multivariate data using a network of coupled phase oscillators subject to an analogue of the Kuramoto model for collective synchronization. Our method may be called data synchronization. We applied data synchronization to the care-needs-certification data, provided by Otsu City as a historical old city near Kyoto City, in the Japanese public long-term care insurance program to find the trend of the major patterns of the aging process for elderly people needing nursing care.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.9.2514/_p
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@ARTICLE{e91-a_9_2514,
author={Takaya MIYANO, Takako TSUTSUI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Finding Major Patterns of Aging Process by Data Synchronization},
year={2008},
volume={E91-A},
number={9},
pages={2514-2519},
abstract={We developed a method for extracting feature patterns from multivariate data using a network of coupled phase oscillators subject to an analogue of the Kuramoto model for collective synchronization. Our method may be called data synchronization. We applied data synchronization to the care-needs-certification data, provided by Otsu City as a historical old city near Kyoto City, in the Japanese public long-term care insurance program to find the trend of the major patterns of the aging process for elderly people needing nursing care.},
keywords={},
doi={10.1093/ietfec/e91-a.9.2514},
ISSN={1745-1337},
month={September},}
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TY - JOUR
TI - Finding Major Patterns of Aging Process by Data Synchronization
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2514
EP - 2519
AU - Takaya MIYANO
AU - Takako TSUTSUI
PY - 2008
DO - 10.1093/ietfec/e91-a.9.2514
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2008
AB - We developed a method for extracting feature patterns from multivariate data using a network of coupled phase oscillators subject to an analogue of the Kuramoto model for collective synchronization. Our method may be called data synchronization. We applied data synchronization to the care-needs-certification data, provided by Otsu City as a historical old city near Kyoto City, in the Japanese public long-term care insurance program to find the trend of the major patterns of the aging process for elderly people needing nursing care.
ER -