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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

Nonbinary data were one-hot encoded, a method for rearranging categorical data into binary variables, and numerical data were normalized using min-max scaling. This would convert all numeric values between or equal to a value of 0 and 1. Min-max scaling is given by: One-hot encoding, min-max scaling, and dataset splitting were accomplished using the Scikit-Learn library (version 0.24.2) [24]. These steps are required to improve the performance of machine learning models and training stability.

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

Comparing Random Survival Forests and Cox Regression for Nonresponders to Neoadjuvant Chemotherapy Among Patients With Breast Cancer: Multicenter Retrospective Cohort Study

Comparing Random Survival Forests and Cox Regression for Nonresponders to Neoadjuvant Chemotherapy Among Patients With Breast Cancer: Multicenter Retrospective Cohort Study

To compare categorical data, we performed the chi-square test. The survival time was a continuous variable and was presented as the median (IQR). The Cox proportional hazards model was used to identify prognostic factors through both univariate and multivariate analyses. For the development of the RSF model, we used the random Forest SRC package, while the cph function was used to construct the Cox regression model.

Yudi Jin, Min Zhao, Tong Su, Yanjia Fan, Zubin Ouyang, Fajin Lv

J Med Internet Res 2025;27:e69864

Analysis of Metabolic and Quality-of-Life Factors in Patients With Cancer for a New Approach to Classifying Walking Habits: Secondary Analysis of a Randomized Controlled Trial

Analysis of Metabolic and Quality-of-Life Factors in Patients With Cancer for a New Approach to Classifying Walking Habits: Secondary Analysis of a Randomized Controlled Trial

We used the chi-square test to calculate the P values when analyzing survey items that used single-choice or yes or no responses. All data analyses were performed using R (version 4.3.0; R Foundation for Statistical Computing). This study was approved by the Institutional Review Board of Asan Medical Center, Korea (IRB 2021-1631), and adhered to relevant ethical guidelines.

Yae Won Tak, Junetae Kim, Haekwon Chung, Sae Byul Lee, In Ja Park, Sei Won Lee, Min-Woo Jo, Jong Won Lee, Seunghee Baek, Yura Lee

J Med Internet Res 2025;27:e52694

Implementation of Medication-Related Technology and Its Impact on Pharmacy Workflow: Real-World Evidence Usability Study

Implementation of Medication-Related Technology and Its Impact on Pharmacy Workflow: Real-World Evidence Usability Study

Differences among the intervention periods were analyzed using chi-square or Fisher exact tests. The Bonferroni method was applied to adjust for multiple comparisons. All statistical analyses were conducted using R software (version 4.1.0, R Foundation for Statistical Computing).

Wei-Ning Yu, Yih-Dih Cheng, Yu-Chi Hou, Yow-Wen Hsieh

J Med Internet Res 2025;27:e59220

Theory-Based Social Media Intervention for Nonmedical Use of Prescription Opioids in Young Adults: Protocol for a Randomized Controlled Trial

Theory-Based Social Media Intervention for Nonmedical Use of Prescription Opioids in Young Adults: Protocol for a Randomized Controlled Trial

Activities include weekly (30 min) online support groups, discussion polls, and campaign activities. Online support groups are live video meetings led by peer leaders and assisted by doctoral-level clinical psychology trainees at the I-Ca Re Training Center, who will be overseen by a licensed clinical psychologist and principal investigator (PI), under supervision from experts in health psychology and addiction medicine (SH and AHL).

Cheuk Chi Tam, Sean D Young, Sayward Harrison, Xiaoming Li, Alain H Litwin

JMIR Res Protoc 2025;14:e65847