Fall risk classification with posturographic parameters in community-dwelling older adults: a machine learning and explainable artificial intelligence approach.

Authors:
Liang HW; Ameri R; Band S; Chen HS; Ho SY and 3 more

Journal:
J Neuroeng Rehabil

Publication Year: 2024

DOI:
10.1186/s12984-024-01310-3

PMCID:
PMC10826018

PMID:
38287415

Journal Information

Full Title: J Neuroeng Rehabil

Abbreviation: J Neuroeng Rehabil

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Physical and Rehabilitation Medicine

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
4/6
66.7% Transparent
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Evidence found in paper:

"Declarations Ethics approval and consent to participateThis study was approved by the Ethical Committee of the National Taiwan University Hospital National Taiwan University Hospital (approval number: 202112114RINA, date of approval: 1/14/2022), and written informed consents were obtained from all participants prior to participation. Consent for publicationNot applicable. Competing interestsThe authors declare that they have no competing interests. Competing interests The authors declare that they have no competing interests."

Evidence found in paper:

"Funding This work was supported by the National Taiwan University Hospital Yunlin branch [Grant Number: NTUHYL 111. AI004] and the National Taiwan University Hospital [Grant Number: NTUH 113-S0140]. The funding sources are not involved in study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the article for publication."

Evidence found in paper:

"Trial registration Not applicable"

Open Access
Paper is freely available to read
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Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025