Machine Learning Models for Frailty Classification of Older Adults in Northern Thailand: Model Development and Validation Study

Our findings showed that our models have the potential to be utilized as a screening tool using simple, accessible demographic and explainable clinical variables in Thai community-dwelling older persons to identify individuals with frailty who require early intervention to become physically robust.

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Publication Details

Journal
JMIR Aging
Published
2025-04-02
DOI
https://doi.org/10.2196/62942
Citations
3
Primary Topic
Frailty in Older Adults
Type
article
Field-Weighted Citation Impact
3.67
Controls
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article

Machine Learning Models for Frailty Classification of Older Adults in Northern Thailand: Model Development and Validation Study

Wachiranun Sirikul, Amornphat Kitro, Penprapa Siviroj, Natthanaphop Isaradech et al.
3 citations
JMIR Aging
Frailty in Older Adults
3.67
article

Machine Learning Models for Frailty Classification of Older Adults in Northern Thailand: Model Development and Validation Study

Wachiranun Sirikul, Amornphat Kitro, Penprapa Siviroj, Natthanaphop Isaradech, Nida Buawangpong
article en
3 citations

Abstract

Our findings showed that our models have the potential to be utilized as a screening tool using simple, accessible demographic and explainable clinical variables in Thai community-dwelling older persons to identify individuals with frailty who require early intervention to become physically robust.

JMIR AgingVol. 8
Chiang Mai University (TH)
Peace, Justice and strong institutions
Openalex Percentile: Top 8%
Frailty in Older Adults
3.67
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