An OMOP CDM-Based Relational Database of Clinical Research Eligibility Criteria. - Yuqi Si; Chunhua Weng (MedInfo, 2017)

A Frame-Based NLP System for Cancer-Related Information Extraction. - Yuqi Si; Kirk E. Roberts (AMIA, 2018)

A FrameNet for Cancer Information in Clinical Narratives: Schema and Annotation. - Kirk Roberts; Yuqi Si; Anshul Gandhi; Elmer V. Bernstam (LREC, 2018)

Relation Extraction from Clinical Narratives Using Pre-trained Language Models. - Qiang Wei 002; Zongcheng Ji; Yuqi Si; Jingcheng Du; Jingqi Wang; Firat Tiryaki; Stephen Wu 004; Cui Tao; Kirk Roberts; Hua Xu 001 (AMIA, 2019)

Enhancing Clinical Concept Extraction with Contextual Embedding. - Yuqi Si; Jingqi Wang; Hua Xu 001; Kirk Roberts (CoRR, 2019)

Enhancing clinical concept extraction with contextual embeddings. - Yuqi Si; Jingqi Wang; Hua Xu 001; Kirk E. Roberts (J. Am. Medical Informatics Assoc., 2019)

Time-sensitive clinical concept embeddings learned from large electronic health records. - Yang Xiang 003; Jun Xu 007; Yuqi Si; Zhiheng Li 004; Laila Rasmy; Yujia Zhou 003; Firat Tiryaki; Fang Li 011; Yaoyun Zhang; Yonghui Wu; Xiaoqian Jiang; W. Jim Zheng; et al. (BMC Medical Informatics Decis. Mak., 2019)

Learning Patient Representations from Electronic Health Records across Diverse Data Types. - Timothy A. Miller; Dmitriy Dligach; Fei Wang 001; Yuqi Si; Funda Meric-Bernstam (AMIA, 2020)

Deep Representation Learning of Patient Data from Electronic Health Records: A Systematic Review. - Yuqi Si; Jingcheng Du; Zhao Li; Xiaoqian Jiang; Timothy A. Miller; Fei Wang 001; W. Jim Zheng; Kirk Roberts (AMIA, 2020)

Extracting Concepts for Precision Oncology from the Biomedical Literature. - Nicholas Greenspan; Yuqi Si; Kirk Roberts (CoRR, 2020)

Deep learning in clinical natural language processing: a methodical review. - Stephen Wu 004; Kirk Roberts; Surabhi Datta; Jingcheng Du; Zongcheng Ji; Yuqi Si; Sarvesh Soni; Qiong Wang; Qiang Wei 002; Yang Xiang 003; Bo Zhao 001; Hua Xu 001 (J. Am. Medical Informatics Assoc., 2020)

Understanding spatial language in radiology: Representation framework, annotation, and spatial relation extraction from chest X-ray reports using deep learning. - Surabhi Datta; Yuqi Si; Laritza Rodriguez; Sonya E. Shooshan; Dina Demner-Fushman; Kirk Roberts (J. Biomed. Informatics, 2020)

Hierarchical Transformer Networks for Longitudinal Clinical Document Classification. - Yuqi Si; Kirk Roberts (CoRR, 2021)

Spatial Distribution Pattern and Influencing Factors of Sports Tourism Resources in China. - Yifan Zuo; Huan Chen; Jincheng Pan; Yuqi Si; Rob Law 001; Mu Zhang 014 (ISPRS Int. J. Geo Inf., 2021)

Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning. - Jingcheng Du; Yang Xiang 003; Madhuri Sankaranarayanapillai; Meng Zhang; Jingqi Wang; Yuqi Si; Huy Anh Pham; Hua Xu 001; Yong Chen 016; Cui Tao (J. Am. Medical Informatics Assoc., 2021)

Generalized and transferable patient language representation for phenotyping with limited data. - Yuqi Si; Elmer V. Bernstam; Kirk Roberts (J. Biomed. Informatics, 2021)

Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review. - Yuqi Si; Jingcheng Du; Zhao Li; Xiaoqian Jiang; Timothy Miller 002; Fei Wang 001; W. Jim Zheng; Kirk Roberts (J. Biomed. Informatics, 2021)