Feasibility of Using a Novel, Multimodal Motor Function Assessment Platform With Machine Learning to Identify Individuals With Mild Cognitive Impairment.

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Bibliographic Details
Title: Feasibility of Using a Novel, Multimodal Motor Function Assessment Platform With Machine Learning to Identify Individuals With Mild Cognitive Impairment.
Authors: Hall JB; Department of Physical Therapy., Akter S; Institute for Data Science and Informatics., Rao P; Institute for Data Science and Informatics.; Department of Electrical Engineering and Computer Science., Kiselica A; Institute of Gerontology, University of Georgia., Ranum R; Department of Health Psychology., Thomas JM; College of Health Sciences., Guess TM; Department of Physical Therapy.
Source: Alzheimer disease and associated disorders [Alzheimer Dis Assoc Disord] 2024 Oct-Dec 01; Vol. 38 (4), pp. 344-350. Date of Electronic Publication: 2024 Oct 17.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 8704771 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1546-4156 (Electronic) Linking ISSN: 08930341 NLM ISO Abbreviation: Alzheimer Dis Assoc Disord Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1546-4156
DOI:10.1097/WAD.0000000000000646