Finding Major Patterns of Aging Process by Data Synchronization
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概要
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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.
著者
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MIYANO Takaya
Department of Micro System Technology, Ritsumeikan University
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TSUTSUI Takako
Department of Health and Social Services, National Institute of Public Health
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