UMIN-CTR Clinical Trial
| Unique ID issued by UMIN | UMIN000047199 |
|---|---|
| Receipt number | R000053839 |
| Scientific Title | Data collection and development of machine learning models for estimating cognitive function using acoustical feature |
| Date of disclosure of the study information | 2022/03/18 |
| Last modified on | 2022/03/20 08:04:01 |
* This page includes information on clinical trials registered in UMIN clinical trial registed system.
* We don't aim to advertise certain products or treatments
Basic information
Public title
Data collection and development of machine learning models for estimating cognitive function using acoustical feature
Acronym
Data collection and development of machine learning models for estimating cognitive function using acoustical feature
Scientific Title
Data collection and development of machine learning models for estimating cognitive function using acoustical feature
Scientific Title:Acronym
Data collection and development of machine learning models for estimating cognitive function using acoustical feature
Region
| Japan |
Condition
Condition
dementia
Classification by specialty
| Psychiatry | Adult |
Classification by malignancy
Others
Genomic information
NO
Objectives
Narrative objectives1
To build a machine learning model to screen for dementia using acoustic features of speech data.
Basic objectives2
Bio-equivalence
Basic objectives -Others
Trial characteristics_1
Trial characteristics_2
Developmental phase
Assessment
Primary outcomes
Accuracy for screening using the Hasegawa dementia scale Revised
Key secondary outcomes
Base
Study type
Observational
Study design
Basic design
Randomization
Randomization unit
Blinding
Control
Stratification
Dynamic allocation
Institution consideration
Blocking
Concealment
Intervention
No. of arms
Purpose of intervention
Type of intervention
Interventions/Control_1
Interventions/Control_2
Interventions/Control_3
Interventions/Control_4
Interventions/Control_5
Interventions/Control_6
Interventions/Control_7
Interventions/Control_8
Interventions/Control_9
Interventions/Control_10
Eligibility
Age-lower limit
| 65 | years-old | <= |
Age-upper limit
| Not applicable |
Gender
Male and Female
Key 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.
Key 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.
Target sample size
300
Research contact person
Name of lead principal investigator
| 1st name | Taishiro |
| Middle name | |
| Last name | Kishimoto |
Organization
Keio university school of medicine
Division name
Hills Joint Research Laboratory for Future Preventive Medicine and Wellness
Zip code
1060032
Address
7F Roppongi Hills North Tower, 6-2-31 Roppongi, Minato-ku, Tokyo
TEL
03-5786-0006
tkishimoto@keio.jp
Public contact
Name of contact person
| 1st name | Toshiro |
| Middle name | |
| Last name | Horigome |
Organization
Keio University school of medicine
Division name
Neuropsychiatry
Zip code
1608582
Address
35, Shinanomachi, Shinjuku, Tokyo
TEL
03-5786-0006
Homepage URL
toshirou.ho@keio.jp
Sponsor or person
Institute
Keio University school of medicine
Institute
Department
Personal name
Funding Source
Organization
Japan Science and Technology Agency
Organization
Division
Category of Funding Organization
Other
Nationality of Funding Organization
Other related organizations
Co-sponsor
Name of secondary funder(s)
IRB Contact (For public release)
Organization
The ethics committee of Keio University School of Medicine
Address
35, Shinanomachi, Shinjuku, Tokyo
Tel
03-5363-3503
med-rinri-jimu@adst.keio.ac.jp
Secondary IDs
Secondary IDs
YES
Study ID_1
20211101
Org. issuing International ID_1
The ethics committee of Keio University School of Medicine
Study ID_2
Org. issuing International ID_2
IND to MHLW
Institutions
Institutions
Other administrative information
Date of disclosure of the study information
| 2022 | Year | 03 | Month | 18 | Day |
Related information
URL releasing protocol
Publication of results
Unpublished
Result
URL related to results and publications
Number of participants that the trial has enrolled
Results
Results date posted
Results Delayed
Results Delay Reason
Date of the first journal publication of results
Baseline Characteristics
Participant flow
Adverse events
Outcome measures
Plan to share IPD
IPD sharing Plan description
Progress
Recruitment status
Open public recruiting
Date of protocol fixation
| 2022 | Year | 03 | Month | 10 | Day |
Date of IRB
| 2022 | Year | 03 | Month | 16 | Day |
Anticipated trial start date
| 2022 | Year | 03 | Month | 20 | Day |
Last follow-up date
| 2027 | Year | 03 | Month | 31 | Day |
Date of closure to data entry
Date trial data considered complete
Date analysis concluded
Other
Other related information
Machine learning to identify cognitive decline, screened by Hasegawa Dementia Scale Reviced scores, using acoustic features of the subject's speech
Management information
Registered date
| 2022 | Year | 03 | Month | 17 | Day |
Last modified on
| 2022 | Year | 03 | Month | 20 | Day |
Link to view the page
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000053839
