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Correction: Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning–Based Audio Enhancement: Algorithm Development and Validation

Correction: Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning–Based Audio Enhancement: Algorithm Development and Validation

The fourth author’s name has been corrected from: Chu-Hsiang Huang to: Chun-Hsiang Huang Additionally, the affiliation of authors Chun-Hsiang Huang, Chi-Hsin Chen, and Cheng-Yi Fan has been updated from: 3 Department of Emergency Medicine, National Taiwan University Hsin-Chu Hospital, Hsinchu, Taiwan to: 3 Department of Emergency Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan Edward Pei-Chuan Huang’s affiliation has also been updated from: 3 Department of Emergency Medicine, National

Jing-Tong Tzeng, Jeng-Lin Li, Huan-Yu Chen, Chun-Hsiang Huang, Chi-Hsin Chen, Cheng-Yi Fan, Edward Pei-Chuan Huang, Chi-Chun Lee

JMIR AI 2025;4:e76150

Effects of a Cloud-Based Synchronous Telehealth Program on Valvular Regurgitation Regression: Retrospective Study

Effects of a Cloud-Based Synchronous Telehealth Program on Valvular Regurgitation Regression: Retrospective Study

Categorical data, presented as counts and percentages, were compared using chi-square tests and/or Fisher exact test. The primary endpoint of MR or TR regression was analyzed using the Cox proportional hazard model, where variables with clinical relevance plus univariable P≤.05 were chosen for multivariable analyses. PCI was treated as a time-dependent variable in the multivariable model. Adjusted cumulative incidence for MR/TR regression and survival were presented using the Kaplan-Meier curves.

Li-Tan Yang, Chi-Han Wu, Jen-Kuang Lee, Wei-Jyun Wang, Ying-Hsien Chen, Ching-Chang Huang, Chi-Sheng Hung, Kuang-Chien Chiang, Yi-Lwun Ho, Hui-Wen Wu

J Med Internet Res 2025;27:e68929

Text-Based Depression Prediction on Social Media Using Machine Learning: Systematic Review and Meta-Analysis

Text-Based Depression Prediction on Social Media Using Machine Learning: Systematic Review and Meta-Analysis

Article heterogeneity was determined using (1) the chi-square Q statistic, where P We generated a funnel plot to examine the presence of publication bias in the included studies [44]. Statistical evaluation was performed using the Begg-Mazumdar rank correlation and Egger tests [45]. A P value of The flowchart of study screening and selection is presented in Figure 1. The electronic database search yielded 6278 studies, from which we excluded 1285 duplicates.

Doreen Phiri, Frank Makowa, Vivi Leona Amelia, Yohane Vincent Abero Phiri, Lindelwa Portia Dlamini, Min-Huey Chung

J Med Internet Res 2025;27:e59002

A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation

A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation

Categorical data were presented as percentages, and a comparison between the two groups was performed using the chi-square test or Fisher exact test. To determine the risk factors for AKI, we used the logistic regression model. Multivariable analysis using logistic regression was performed on variables with a P value A total of 439,072 surgery cases from seven academic hospitals of the Catholic University of Korea were included in the study (Figure 1).

Ji Won Min, Jae-Hong Min, Se-Hyun Chang, Byung Ha Chung, Eun Sil Koh, Young Soo Kim, Hyung Wook Kim, Tae Hyun Ban, Seok Joon Shin, In Young Choi, Hye Eun Yoon

J Med Internet Res 2025;27:e62853

Effect of the Yon PD App on the Management of Self-Care in People With Parkinson Disease: Randomized Controlled Trial

Effect of the Yon PD App on the Management of Self-Care in People With Parkinson Disease: Randomized Controlled Trial

The homogeneity of 2 groups at baseline (general characteristics and self-care) was analyzed using the chi-square test, Fisher exact test, and independent, 2-tailed t test with an α level of .05. The effect of the intervention on self-care was analyzed using the repeated-measures ANOVA with an α level of .05. Satisfaction with the intervention was analyzed using mean and SD.

JuHee Lee, Subin Yoo, Yielin Kim, Eunyoung Kim, Hyeran Park, Young H Sohn, Yun Joong Kim, Seok Jong Chung, Kyoungwon Baik, Kiyeon Kim, Jee-Hye Yoo

J Med Internet Res 2025;27:e62822