A Semantic-based Approach for Exploring Consumer Health Questions Using UMLS. - Licong Cui; Shiqiang Tao; Guo-Qiang Zhang 001 (AMIA, 2014)

MaPLE: A MapReduce Pipeline for Lattice-based Evaluation and its application to SNOMED CT. - Guo-Qiang Zhang 001; Wei Zhu 010; Mengmeng Sun; Shiqiang Tao; Olivier Bodenreider; Licong Cui (IEEE BigData, 2014)

COBE: A Conjunctive Ontology Browser and Explorer for Visualizing SNOMED CT Fragments. - Mengmeng Sun; Wei Zhu 010; Shiqiang Tao; Licong Cui; Guo-Qiang Zhang 001 (AMIA, 2015)

RREV: Reconfigurable Rendering Engine for visualization of clinically annotated polysomnograms. - Catherine P. Jayapandian; Wei Wang; Michael G. Morrical; Dennis A. Dean; Shiqiang Tao; Daniel R. Mobley; Matthew Kim; Michael Rueschman; Kenneth A. Loparo; Susan Redline; Guo-Qiang Zhang 001 (BIBM, 2015)

ODaCCI: Ontology-guided Data Curation for Multisite Clinical Research Data Integration in the NINDS Center for SUDEP Research. - Licong Cui; Yan Huang 034; Shiqiang Tao; Samden D. Lhatoo; Guo-Qiang Zhang 001 (AMIA, 2016)

Web-Interface-Driven Development for Neuro3D, a Clinical Data Capture and Decision Support System for Deep Brain Stimulation. - Shiqiang Tao; Benjamin L. Walter; Sisi Gu; Guo-Qiang Zhang 001 (HIS, 2016)

Biomedical Ontology Quality Assurance Using a Big Data Approach. - Licong Cui; Shiqiang Tao; Guo-Qiang Zhang 001 (ACM Trans. Knowl. Discov. Data, 2016)

SpindleSphere: A Web-based Platform for Large-scale Sleep Spindle Analysis and Visualization. - Xiaojin Li; Licong Cui; Shiqiang Tao; Ningzhou Zeng; Guo-Qiang Zhang 001 (AMIA, 2017)

Facilitating Cohort Discovery by Enhancing Ontology Exploration, Query Management and Query Sharing for Large Clinical Data Repositories. - Shiqiang Tao; Licong Cui; Xi Wu; Guo-Qiang Zhang 001 (AMIA, 2017)

A Practical Scientific Workflow of Sharing Large Selected Dataset from Clinical Research Data Repository. - Shiqiang Tao; Steve K. Roggenkamp; Guo-Qiang Zhang 001 (AMIA, 2017)

ImageSfERe: Image sharing for epilepsy research. - Xi Wu; Steven K. Roggenkamp; Shiqiang Tao; Guo-Qiang Zhang 001 (BIBM, 2017)

A Data Capture Framework for Large-scale Interventional Studies with Survey Workflow Management. - Shiqiang Tao; Ningzhou Zeng; Xi Wu; Wei Zhu 010; Xiaojin Li; Licong Cui; Guo-Qiang Zhang 001 (CRI, 2017)

Mining non-lattice subgraphs for detecting missing hierarchical relations and concepts in SNOMED CT. - Licong Cui; Wei Zhu 010; Shiqiang Tao; James T. Case; Olivier Bodenreider; Guo-Qiang Zhang 001 (J. Am. Medical Informatics Assoc., 2017)

System Demonstration: Integration of Patient Reported Outcomes with Electronic Health Records - the EASI-PRO Project. - Justin Starren; Daniella Meeker; Kenneth D. Mandl; Guo-Qiang Zhang 001; Alyssa White; Raheel Sayeed; Daniel Gottlieb 001; Alex Wormuth; Welmoed Van Deen; Shiqiang Tao (AMIA, 2018)

Predicting Substance Use Disorder in ADHD Patients using Long-Short Term Memory Model. - Sajjad Fouladvand; Emily R. Hankosky; Darren W. Henderson; Heather Bush; Jin Chen 004; Linda P. Dwoskin; Patricia R. Freeman; Kathleen Kantak; Jeffery C. Talbert; Shiqiang Tao; Guo-Qiang Zhang 001 (ICHI Workshops, 2018)

The National Sleep Research Resource: towards a sleep data commons. - Guo-Qiang Zhang 001; Licong Cui; Remo Mueller; Shiqiang Tao; Matthew Kim; Michael Rueschman; Sara Mariani; Daniel R. Mobley; Susan Redline (J. Am. Medical Informatics Assoc., 2018)

HyCLASSS: A Hybrid Classifier for Automatic Sleep Stage Scoring. - Xiaojin Li; Licong Cui; Shiqiang Tao; Jing Chen 002; Xiang Zhang 001; Guo-Qiang Zhang 001 (IEEE J. Biomed. Health Informatics, 2018)

SeizureBank: A Repository of Analysis-ready Seizure Signal Data. - Xiaojin Li; Yan Huang 034; Shiqiang Tao; Licong Cui; Samden D. Lhatoo; Guo-Qiang Zhang 001 (AMIA, 2019)

Insomnia Prediction Using Temporal Feature of Spindles. - Hao Yu; Ying Zhang; Jin Chen 004; Shiqiang Tao; Taylor D. Smith; Guo-Qiang Zhang 001; Xiaojin Li; Xiaoqian Jiang; Xiaoling Wang 004; Xinyu Wang 017 (ICHI, 2019)

Predicting substance use disorder using long-term attention deficit hyperactivity disorder medication records in Truven. - Sajjad Fouladvand; Emily R. Hankosky; Heather Bush; Jin Chen 004; Linda P. Dwoskin; Patricia R. Freeman; Darren W. Henderson; Kathleen Kantak; Jeffery C. Talbert; Shiqiang Tao; Guo-Qiang Zhang 001 (Health Informatics J., 2020)

A community effort for automatic detection of postictal generalized EEG suppression in epilepsy. - Yejin Kim 001; Xiaoqian Jiang; Samden D. Lhatoo; Guoqiang Zhang 001; Shiqiang Tao; Licong Cui; Xiaojin Li; Robert D. Jolly; Luyao Chen; Michael Phan; Cung Ha; Marijane Detranaltes; et al. (BMC Medical Informatics Decis. Mak., 2020)

Web-based interactive mapping from data dictionaries to ontologies, with an application to cancer registry. - Shiqiang Tao; Ningzhou Zeng; Isaac Hands; Joseph Hurt-Mueller; Eric B. Durbin; Licong Cui; Guo-Qiang Zhang 001 (BMC Medical Informatics Decis. Mak., 2020)

Learning to detect the onset of slow activity after a generalized tonic-clonic seizure. - Carroll Vance; Yejin Kim 001; Guo-Qiang Zhang 001; Samden D. Lhatoo; Shiqiang Tao; Licong Cui; Xiaojin Li; Xiaoqian Jiang (BMC Medical Informatics Decis. Mak., 2020)

Ontologies as nested facet systems for human-data interaction. - Guoqiang Zhang 001; Shiqiang Tao; Ningzhou Zeng; Licong Cui (Semantic Web, 2020)

IMI-CDE: an interactive interface for collaborative mapping of study variables to common data elements. - Shiqiang Tao; Wei-Chun Chou; Jianfu Li; Jingcheng Du; Pritham Ram; Rashmie Abeysinghe; Hua Xu 001; Xiaoqian Jiang; Peter W. Rose; Lucila Ohno-Machado; Guo-Qiang Zhang 001 (ICHI, 2022)

A multimodal clinical data resource for personalized risk assessment of sudden unexpected death in epilepsy. - Xiaojin Li; Shiqiang Tao; Samden D. Lhatoo; Licong Cui; Yan Huang 034; Johnson P. Hampson; Guo-Qiang Zhang 001 (Frontiers Big Data, 2022)

A hybrid unsupervised and supervised learning approach for postictal generalized EEG suppression detection. - Xiaojin Li; Yan Huang 034; Samden D. Lhatoo; Shiqiang Tao; Laura Vilella Bertran; Guo-Qiang Zhang 001; Licong Cui (Frontiers Neuroinformatics, 2022)

A hierarchical strategy to minimize privacy risk when linking "De-identified" data in biomedical research consortia. - Lucila Ohno-Machado; Xiaoqian Jiang; Tsung-Ting Kuo; Shiqiang Tao; Luyao Chen; Pritham Ram; Guo-Qiang Zhang 001; Hua Xu 001 (J. Biomed. Informatics, 2023)

Identifying Factors Associated with COVID-19 All-Cause 90-Day Readmission: Machine Learning Approaches. - Shiwei Lin; Shiqiang Tao; Yan Huang 034; Xiaojin Li; Guo-Qiang Zhang 001 (AIME (1), 2024)

Identifying Developmental Intellectual Disability as a SUDEP Risk Marker from Epilepsy Monitoring Unit Reports Using Large Language Models. - Ran Hu; Rashmie Abeysinghe; Gorbachev Jowah; Shiqiang Tao; Samden D. Lhatoo; Guo-Qiang Zhang 001; Licong Cui (FLAIRS, 2025)

Leveraging pretrained language models for seizure frequency extraction from epilepsy evaluation reports. - Rashmie Abeysinghe; Shiqiang Tao; Samden D. Lhatoo; Guoqiang Zhang 001; Licong Cui (npj Digit. Medicine, 2025)