Identifying Mild Cognitive Impairment from Routinely Collected Physical, Functional and Psychosocial Measures in Community-Dwelling Older Adults: A Comparative Machine-Learning and Regression Modelling Study in the Northern Japanese ORANGE Registry.
Overview & Synopsis
Open access biomedical research article published in Geriatrics (Basel).
Indexed from repository: PubMed Central
(
pmc.ncbi.nlm.nih.gov)
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Document Information
| Document Title | Identifying Mild Cognitive Impairment from Routinely Collected Physical, Functional and Psychosocial Measures in Community-Dwelling Older Adults: A Comparative Machine-Learning and Regression Modelling Study in the Northern Japanese ORANGE Registry. |
|---|---|
| Author / Organization | Kodama A, Ohnuma T, Sasaki K, Sugawara K, Fujiyama N, Umetsu Y, Ono T, Ota H |
| Subject & Discipline | Geriatrics (Basel) |
| Categories | Medicine & Health |
| Publication Year | 2026 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
PubMed Central
(pmc.ncbi.nlm.nih.gov)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-134118 |
| Original Source Link | Visit Source Page on pmc.ncbi.nlm.nih.gov » |