Tokyo, Sept. 1 -- UMIN Clinical Trials Registry (UMIN-CTR) received information related to the study (UMIN000062629) titled 'Development of a Multitask Machine Learning Framework for Detecting Psychological Frailty in Older Adults Using Acoustic Speech Features' on Sept. 1.
Study Type:
Observational
Primary Sponsor:
Institute - Keio University
Condition:
Condition - Dementia, Depressive symptoms
Classification by malignancy - Others
Genomic information - NO
Objective:
Narrative objectives1 - To establish a foundation for speech analysis capable of simultaneously estimating cognitive function (cognitively normal, mild cognitive impairment [MCI], and dementia) and depressive symptoms from older adults' conversational speech, and to construct a multitask machine learning algorithm to achieve this from a single voice sample.
Basic objectives2 - Others
Eligibility:
Age-lower limit - 65
years-old
<=
Age-upper limit - Not applicable
Gender - Male and Female
Key inclusion criteria - Individuals aged 65 or older who provide written informed consent to participate in this study (or whose legally acceptable representative provides written consent).
Key exclusion criteria - Individuals with complications or impairments that affect speech measurement (e.g., difficulty speaking due to laryngectomy, etc.), and individuals deemed unsuitable for participation in this study by the principal or sub-investigators.
Target Size - 150
Recruitment Status:
Recruitment status - Preinitiation
Date of protocol fixation - 2025 Year 04 Month 17 Day
Date of IRB - 2026 Year 06 Month 29 Day
Anticipated trial start date - 2026 Year 09 Month 01 Day
Last follow-up date - 2032 Year 03 Month 31 Day
To know more, visit https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000071478
Disclaimer: Curated by HT Syndication.
