JMIR Research Protocols

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Characterizing Patient-Reported Fatigue Using Electronic Diaries in Neurodegenerative and Immune-Mediated Inflammatory Diseases: Observational Study

Adrien Bennetot, Rana Zia Ur Rehman, Robbin Romijnders, Zhi Li, Victoria Macrae, Kristen Davies, Wan-Fai Ng, Walter Maetzler, Jennifer Kudelka, Hanna Hildesheim, Kirsten Emmert, Emma Paulides, C Janneke van der Woude, Ralf Reilmann, Svenja Aufenberg, Meenakshi Chatterjee, Nikolay V Manyakov, Clémence Pinaud, Stefan Avey

JMIR Form Res 2025;9:e65879

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Physical, Mental, and Health Empowerment Disparities Across Chronic Obstructive Pulmonary Disease, Asthma, and Combined Groups and the Moderating Role of eHealth Literacy: Cross-Sectional Study

Jiaying Li, Xiaobing Wu, Yibo Wu, Daniel Yee Tak Fong, Yang Song, Siyi Xu, Changhwan Kim, Xiaohong Lin, Vinciya Pandian

J Med Internet Res 2025;27:e70822

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The Applications of Large Language Models in Mental Health: Scoping Review

Yu Jin, Jiayi Liu, Pan Li, Baosen Wang, Yangxinyu Yan, Huilin Zhang, Chenhao Ni, Jing Wang, Yi Li, Yajun Bu, Yuanyuan Wang

J Med Internet Res 2025;27:e69284

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Development of a Qigong Used for Insomnia Therapy (QUIT) Program for Improving Sleep Quality and Blood Pressure in Chinese Women With Menopause: Pre-Post Pilot Test of Feasibility

Sean Huang, Jung Eun Kim, Wen-Wen Li

Asian Pac Isl Nurs J 2025;9:e70226

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Sexual Response Problems and Their Correlates Among Older Adults From the Sexual Well-Being (SWELL) Study in China: Multicenter Cross-Sectional Study

Bingyu Liang, Chen Xu, Bingyi Wang, Xinyi Li, Xin Peng, Ying Wang, Hui Li, Yong Lu, Xiaopei Shen, Lin Ouyang, Guohui Wu, Maohe Yu, Jiewei Liu, Xiaojun Meng, Yong Cai, Huachun Zou

JMIR Aging 2025;8:e66772

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Identification of Major Bleeding Events in Postoperative Patients With Malignant Tumors in Chinese Electronic Medical Records: Algorithm Development and Validation

While prior research primarily focused on English EHR data and general bleeding event detection, such as the study by Li et al that used a Hybrid CNN-LSTM Autoencoder for sentence-level bleeding detection, and a more recent work that applied retrieval augmented generation with large language models for detecting nonsurgical major bleeding events in English EHRs [20], our investigation centers on the identification of major bleeding events within Chinese EHR.

Hui Li, Haiyang Yao, Yuxiang Gao, Hang Luo, Changbin Cai, Zhou Zhou, Muhan Yuan, Wei Jiang