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A Graph Convolutional Network–Based Method for Chemical-Protein Interaction Extraction: Algorithm Development

Erniu Wang, Fan Wang, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang

JMIR Med Inform 2020;8(5):e17643

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Minimizing the Impact of the COVID-19 Epidemic on Oncology Clinical Trials: Retrospective Study of Beijing Cancer Hospital

Zhiying Fu, Min Jiang, Kun Wang, Jian Li

J Med Internet Res 2021;23(3):e26799

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Smartphone Overuse and Visual Impairment in Children and Young Adults: Systematic Review and Meta-Analysis

Jian Wang, Mei Li, Daqiao Zhu, Yang Cao

J Med Internet Res 2020;22(12):e21923

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Document-Level Biomedical Relation Extraction Using Graph Convolutional Network and Multihead Attention: Algorithm Development and Validation

Jian Wang, Xiaoyu Chen, Yu Zhang, Yijia Zhang, Jiabin Wen, Hongfei Lin, Zhihao Yang, Xin Wang

JMIR Med Inform 2020;8(7):e17638

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Application of Big Data Technology for COVID-19 Prevention and Control in China: Lessons and Recommendations

Jun Wu, Jian Wang, Stephen Nicholas, Elizabeth Maitland, Qiuyan Fan

J Med Internet Res 2020;22(10):e21980

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Association of Web-Based Physical Education With Mental Health of College Students in Wuhan During the COVID-19 Outbreak: Cross-Sectional Survey Study

Cheng-Hu Deng, Jing-Qiang Wang, Li-Ming Zhu, He-Wang Liu, Yu Guo, Xue-Hua Peng, Jian-Bo Shao, Wei Xia

J Med Internet Res 2020;22(10):e21301

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Knowledge, Attitudes, and Practices Regarding Avian Influenza A (H7N9) Among Mobile Phone Users: A Survey in Zhejiang Province, China

Hua Gu, Zhenggang Jiang, Bin Chen, Jueman (Mandy) Zhang, Zhengting Wang, Xinyi Wang, Jian Cai, Yongdi Chen, Dawei Zheng, Jianmin Jiang

JMIR Mhealth Uhealth 2015;3(1):e15

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Internet Use, Risk Awareness, and Demographic Characteristics Associated With Engagement in Preventive Behaviors and Testing: Cross-Sectional Survey on COVID-19 in the United States

Siyue Li, Bo Feng, Wang Liao, Wenjing Pan

J Med Internet Res 2020;22(6):e19782

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Development of a Consumer Health Vocabulary by Mining Health Forum Texts Based on Word Embedding: Semiautomatic Approach

Recent theoretical and experimental results from Wang et al [12] showed that matching professional-consumer concept pairs through text embedding approaches can capture the semantic similarities between professional concepts and consumer concepts, thus yielding

Gen Gu, Xingting Zhang, Xingeng Zhu, Zhe Jian, Ken Chen, Dong Wen, Li Gao, Shaodian Zhang, Fei Wang, Handong Ma, Jianbo Lei

JMIR Med Inform 2019;7(2):e12704

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Using Reports of Symptoms and Diagnoses on Social Media to Predict COVID-19 Case Counts in Mainland China: Observational Infoveillance Study

Cuihua Shen, Anfan Chen, Chen Luo, Jingwen Zhang, Bo Feng, Wang Liao

J Med Internet Res 2020;22(5):e19421

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