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Prevalence of Frailty and Its Predictors Among Patients With Cancer at the Chemotherapy Stage: Systematic Review

The exclusion of the study by Wang et al [29], which reported the lowest frailty prevalence (4.9%, 95% CI 3.7%‐6.4%), preserved excessive residual heterogeneity (I²=96%, P Subsequent domain-specific analyses demonstrated differential heterogeneity profiles.

Tingting Wang, Jinxia Jiang, Zihe Song, Xianliang Liu, Minhui Zhong, Chan Yu, Runa Zhang, Xia Duan

JMIR Cancer 2025;11:e69936

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Predicting In-Hospital Mortality in Intensive Care Unit Patients Using Causal SurvivalNet With Serum Chloride and Other Causal Factors: Cross-Country Study

The model was developed using Py Cox (version 0.2.3; Joseph Ramsey et al) on the Anaconda platform (version 3; Peter Wang et al), the Py Torch framework (version 1.12.1; Soumith Chintala et al), and the programming language Python (version 3.9; Guido van Rossum) as described by Kvamme and Borgan [28]. The traditional CPH model (Text S5 in Multimedia Appendix 1) is constrained by its inherent linear assumptions, which can limit its learnability from complex, multidimensional patient data.

Jing Wang, Qixiu Li, Can Xie, Xiaofei Li, Huikao Wang, Wei Xu, Ruyan Lv, Xiaobing Zhai, Ping Xu, Kefeng Li, Xi-Cheng Song

J Med Internet Res 2025;27:e70118

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A Weighted Voting Approach for Traditional Chinese Medicine Formula Classification Using Large Language Models: Algorithm Development and Validation Study

Current TCM formula textbooks and national standards still follow the efficacy-oriented classification system established in Wang Ang’s Qing Dynasty work Yi Fang Ji Jie (Compilation of Medical Formulas, 医方集解) [8]. Prior to the introduction of this system, many formulas lacked clear categorization, making manual classification both labor-intensive and susceptible to inconsistencies.

Zhe Wang, Keqian Li, Suyuan Peng, Lihong Liu, Xiaolin Yang, Keyu Yao, Heinrich Herre, Yan Zhu