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Computer Methods and Programs in Biomedicine|March 4, 2017
Detecting negation and scope in Chinese clinical notes using character and word embeddingTian Kang, Shaodian Zhang, Nanfang Xu, et al.Proceedings of the ... International World-Wide Web Conference. International WWW Conference|October 3, 2017
"We make choices we think are going to save us": Debate and stance identification for online breast cancer CAM discussionsShaodian Zhang, Lin Qiu, Frank Chen, et al.Frontiers in Cardiovascular Medicine|September 14, 2023
Development and validation of machine learning models for venous thromboembolism risk assessment at admission: a retrospective studyWenbo Sheng, Xiaoli Wang, Wenxiang Xu, et al.Biopreservation and Biobanking|May 27, 2021
Artificial Intelligence for Screening Chinese Electronic Medical Record and Biobank InformationXiaoqing Li, Jiang Han, Shaodian Zhang, et al.Journal of Biomedical Informatics|July 31, 2017
A cascaded approach for Chinese clinical text de-identification with less annotation effortZhe Jian, Xusheng Guo, Shijian Liu, et al.JMIR Medical Informatics|July 18, 2019
Improving the Efficacy of the Data Entry Process for Clinical Research With a Natural Language Processing-Driven Medical Information Extraction System: Quantitative Field ResearchJiang Han, Ken Chen, Lei Fang, et al.Journal of the American Medical Informatics Association : JAMIA|April 6, 2017
EliIE: An open-source information extraction system for clinical trial eligibility criteriaTian Kang, Shaodian Zhang, Youlan Tang, et al.Journal of Biomedical Informatics|September 19, 2022
A gradient boosting tree model for multi-department venous thromboembolism risk assessment with imbalanced dataHandong Ma, Zhecheng Dong, Mingcheng Chen, et al.Frontiers in Molecular Biosciences|June 21, 2024
Therapeutic potential of mesenchymal stem cell-derived exosomes in skeletal diseasesXiaobo Yang, Shaodian Zhang, Jinwei Lu, et al.Journal of Biomedical Informatics|August 28, 2021
A novel hierarchical machine learning model for hospital-acquired venous thromboembolism risk assessment among multiple-departmentsHandong Ma, Wenbo Sheng, Jiyu Li, et al.Pageof 3