JMIR Agingaging31JMIR AgingJMIR Aging2561-7605JMIR PublicationsToronto, Canadav8i1e7569010.2196/75690Corrigenda and AddendaCorrection: Machine Learning Models for Frailty Classification of Older Adults in Northern Thailand: Model Development and Validation StudyIsaradechNatthanaphopMD12*SirikulWachiranunMD, MSc134*BuawangpongNidaMD5SivirojPenprapaDrPH1KitroAmornphatMD, MCTM12Department of Community Medicine, Faculty of Medicine, Chiang Mai University110, Intrawarorot RoadMeaungThailandEnvironmental and Occupational Medicine Excellence Center, Faculty of Medicine, Chiang Mai UniversityChiang MaiThailandCenter of Data Analytics and Knowledge Synthesis for Health Care, Faculty of Medicine, Chiang Mai UniversityChiang MaiThailandDepartment of Biomedical Informatics and Clinical Epidemiology, Faculty of Medicine, Chiang Mai UniversityChiang MaiThailandDepartment of Family Medicine, Faculty of Medicine, Chiang Mai UniversityChiang MaiThailandCorrespondence to Wachiranun Sirikul, MD, MSc, Department of Community Medicine, Faculty of Medicine, Chiang Mai University, 110, Intrawarorot Road, Meaung, 50200, Thailand, 66 53935472, 66 935476; wachiranun.sir@cmu.ac.th

these authors contributed equally

202522420258e756901004202510042025© Natthanaphop Isaradech, Wachiranun Sirikul, Nida Buawangpong, Penprapa Siviroj, Amornphat Kitro. Originally published in JMIR Aging (https://aging.jmir.org), 22.4.2025. 2025

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Aging, is properly cited. The complete bibliographic information, a link to the original publication on https://aging.jmir.org, as well as this copyright and license information must be included.

https://aging.jmir.org/2025/1/e62942aged caregerontologygeriatricoldagingclinical decision supportdelivering health information and knowledge to the publicdiagnostic systemsdigital healthepidemiologysurveillancediagnosisfrailtymachine learningpredictionpredictiveAIartificial intelligenceThailandcommunity dwellinghealth care interventionpatient care

In “Machine Learning Models for Frailty Classification of Older Adults in Northern Thailand: Model Development and Validation Study” (JMIR Aging 2025;8:e62942) one error was noted.

Reference 44 was a duplicate of reference 36, which reads as follows:

Thinuan P, Siviroj P, Lerttrakarnnon P, Lorga T. Prevalence and potential predictors of frailty among community-dwelling older persons in northern Thailand: a cross-sectional study. Int J Environ Res Public Health. Jun 8, 2020;17(11):4077.

Reference 44 has therefore been removed, and all subsequent references have been reordered accordingly.

The correction will appear in the online version of the paper on the JMIR Publications website, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.