JMIR Agingaging31JMIR AgingJMIR Aging2561-7605JMIR PublicationsToronto, Canadav9i1e10128410.2196/101284Corrigenda and AddendaCorrection: Development and Validation of Machine Learning Models for Predicting Falls Among Hospitalized Older Adults: Retrospective Cross-Sectional StudyYangXiyaoMSc1*RenJuanMSc1*SuDanPhD23*BaoManzhenMSc1ZhangMiaoMSc1ChenXiaomingBSc1LiYanhuaBSc1WangZongguiBSc1DaiXiujingBSc1WeiZengzengBSc1ZhangShuiyuBSc2ZhangYuxinMSc1LiJuanBSc1LiXiaolinBSc1XuJunjinBSc1MoNanMSc1Second Hospital of Anhui Medical UniversityNo.678 Furong Road, Shushan DistrictHefeiChinaSchool of Nursing, Anhui Medical UniversityHefeiChinaThe Taikang Health and Wellness Industry Research Institute, Anhui Medical UniversityHefeiChinaCorrespondence to Nan Mo, MSc, Second Hospital of Anhui Medical University, No.678 Furong Road, Shushan District, Hefei, 230601, China, 86 1-809-650-2125; 2455832039@qq.com
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https://aging.jmir.org/2026/1/e80602
In “Development and Validation of Machine Learning Models for Predicting Falls Among Hospitalized Older Adults: Retrospective Cross-Sectional Study” [1], the authors noted one error.
In the Selection of Predictor Variables section, the following sentence was replaced:
Univariate LR identified 27 potential predictors (P<.05) in the training set, as detailed in Table S3 of Multimedia Appendix 1.
The sentence now reads:
Univariate LR identified 26 potential predictors (P<.05) in the training set. The mBI did not reach statistical significance in the univariate analysis, but its P value was .054, which is very close to the threshold. Given that the mBI is an important clinical indicator associated with fall risk and to avoid omitting potentially influential factors due to a rigid threshold, we decided after expert discussion to include it as the 27th variable in the subsequent feature selection, as detailed in Table S3 of Multimedia Appendix 1.
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.
ReferencesYangXRenJSuDDevelopment and validation of machine learning models for predicting falls among hospitalized older adults: retrospective cross-sectional studyJMIR Aging20260159e8060210.2196/8060241489988