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Knowledge, Attitudes, and Practices to Periodontal Health of the Northeast Chinese Public: Cross-Sectional Study

Chengde Jin, Ming Chi, Chunxiao Li, Yushan Li, Wanting Wang, Yushi Zhang, Qiao Liu

JMIR Public Health Surveill 2025;11:e72069

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eHealth Literacy Interventions: Scoping Review

Yan Wang, Yutian Niu, Rongjing Xu, Qingqing Zhang, Shoumei Jia, Anni Wang

Interact J Med Res 2025;14:e69640

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Validation and Refinement of Scores to Predict Stroke Risk: Prospective Cohort Study

Hua Meng, Zhuo Liu, Dongfeng Pan, Xinya Su, Wenwen Lu, Xingtian Wang, Yuhui Geng, Xiaojuan Ma, Peifeng Liang

JMIR Public Health Surveill 2025;11:e72497

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Multimodal Integration in Health Care: Development With Applications in Disease Management

Yan Hao, Chao Cheng, Juanjuan Li, Hongwen Li, Xingsi Di, Xiaoxia Zeng, Shoumei Jin, Xiaodong Han, Chongsong Liu, Qianqian Wang, Bingying Luo, Xianhai Zeng, Ke Li

J Med Internet Res 2025;27:e76557

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Cognitive Functioning Trajectories and Their Association With Mental Health in Older Adults With Hypertension: Secondary Analysis of the Chinese Longitudinal Healthy Longevity Survey Data

Peiyun Wu, Cheng Lin, Jing Yang, Zhizhuo Wang

JMIR Aging 2025;8:e74916

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Leveraging Retrieval-Augmented Large Language Models for Dietary Recommendations With Traditional Chinese Medicine’s Medicine Food Homology: Algorithm Development and Validation

Hangyu Sha, Fan Gong, Bo Liu, Runfeng Liu, Haofen Wang, Tianxing Wu

JMIR Med Inform 2025;13:e75279

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Development of the Double-Blind, Randomized Trials of Effects of Antihypertensive Medicines (DREAM) Database and Characteristics of the Included Trials: Protocol for an Umbrella Review and Meta-Analyses

Abdul Salam, Rupasvi Dhurjati, Kota Vidyasagar, Prachi Kaistha, Hariprasad Esam, Faraidoon Haghdoost, Rashmi Pant, Amit Kumar, Raju Kanukula, Rakesh Thode, Ravali Baddam, Kanika Chaudhri, Nelson Wang, Soumyadeep Bhaumik, Sonali R Gnanenthiran, Sasi Kumar Tiruttani, Anthony Rodgers

JMIR Res Protoc 2025;14:e65205

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Medical Science Data Value Evaluation Model: Mixed Methods Study

Initially, Wang and Strong [18] proposed one of the most widely used frameworks for assessing data quality, but due to the complexity of the data quality concept, there is still no consensus on its measurement. Given that different types of data apply to different contexts, they cannot be assessed with a one-size-fits-all approach [19]. Scholars have made significant efforts to assess the value of research data.

Dandan Wang, Yaning Liu

JMIR Med Inform 2025;13:e63544

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