Data collection and development of machine learning models for estimating cognitive function using acoustical feature

Data collection and development of machine learning models for estimating cognitive function using acoustical feature - Data collection and development of machine learning models for estimating cognitive function using acoustical feature

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000047199

Enrollment

300

Registered

2022-03-18

Start date

2022-03-20

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

dementia

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Persons 65 years of age or older who are receiving or intend to receive deposit/trust transactions and testamentary trust services at the bank.

Exclusion criteria

Exclusion criteria: Those who score 20 or below on the Hasegawa dementia scale revised and are judged by a notary public to have no capacity to make a will.

Design outcomes

Primary

Measure	Time frame
Accuracy for screening using the Hasegawa dementia scale Revised	—

Countries

Japan

Contacts

Public ContactToshiro Horigome

Keio University school of medicine Neuropsychiatry

toshirou.ho@keio.jp03-5786-0006

Outcome results