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Web-Based Explainable Machine Learning-Based Drug Surveillance for Predicting Sunitinib- and Sorafenib-Associated Thyroid Dysfunction: Model Development and Validation Study

Web-Based Explainable Machine Learning-Based Drug Surveillance for Predicting Sunitinib- and Sorafenib-Associated Thyroid Dysfunction: Model Development and Validation Study

Patient characteristics were evaluated with independent t tests or the Wilcoxon rank-sum test for continuous variables, and the χ2 test or Fisher exact test for categorical variables. A two-sided P value This study enlisted data from 900 patients prescribed sunitinib or sorafenib from initial screening from the CRD. A STROBE (Strengthening The Reporting of Observational Studies in Epidemiology) flowchart of patient selection is described in Multimedia Appendix 5.

Fan-Ying Chan, Yi-En Ku, Wen-Nung Lie, Hsiang-Yin Chen

JMIR Form Res 2025;9:e67767

Efficacy of a Digital Postoperative Rehabilitation Intervention in Patients With Primary Liver Cancer: Randomized Controlled Trial

Efficacy of a Digital Postoperative Rehabilitation Intervention in Patients With Primary Liver Cancer: Randomized Controlled Trial

The independent samples t test was used for comparison between groups of normally distributed continuous data. The Mann-Whitney U test was used for comparison of nonnormally distributed continuous data. Count data were expressed as the number of cases (rate) and tested using the chi-square test or Fisher exact test. Mean differences in the change from baseline to week 3 were also calculated.

Kaitao Yu, Baobing Yin, Ying Zhu, Hongdao Meng, Wenwei Zhu, Lu Lu, Junqiao Wang, Shugeng Chen, Jun Ni, Yifang Lin, Jie Jia

JMIR Mhealth Uhealth 2025;13:e59228

Health Care Professionals' Engagement With Digital Mental Health Interventions in the United Kingdom and China: Mixed Methods Study on Engagement Factors and Design Implications

Health Care Professionals' Engagement With Digital Mental Health Interventions in the United Kingdom and China: Mixed Methods Study on Engagement Factors and Design Implications

Binary logistic regression was used to explore the contributing factors to HCPs’ past engagement with DMHIs, while t tests and χ² tests were used to investigate variances of groups. The level of significance was set at P Interviews were carried out by the first author, who was trained in design and user study, via both face-to-face and web-based platforms (Zoom and Teams). Each interview lasted around 30 minutes. Participants were briefed about the study’s aim at the beginning of the interview.

Zheyuan Zhang, Sijin Sun, Laura Moradbakhti, Andrew Hall, Celine Mougenot, Juan Chen, Rafael A Calvo

JMIR Ment Health 2025;12:e67190