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Development of an AI-based system to identify frailty in community residents

Development of an AI-based system to identify frailty in community residents - Development of an AI-based system to identify frailty in community residents

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000045993
Enrollment
100
Registered
2021-11-05
Start date
2021-09-11
Completion date
Unknown
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Adults living in the community

Interventions

None listed

Sponsors

Fujita Health University
Lead Sponsor
Chubu Electric Power Company,Incorporated necolico LLC Japan Data Science Consortium Co. Ltd.
Collaborator

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: a. Lives alone in the community. b. Consented to participate in the study.

Exclusion criteria

Exclusion criteria: None.

Design outcomes

Primary

MeasureTime frame
Frailty Assessment (grip strength, walking speed, etc.)

Secondary

MeasureTime frame
Recording of sensors (smart meter, motion sensor, etc.)

Countries

Japan

Contacts

Public ContactShin Kitamura

Fujita Health University Faculty of Rehabilitation, School of Health Sciences

shin.kitamura@fujita-hu.ac.jp0562-93-9000

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026