A Study of Deep Learning Methods for De-identification of Clinical Notes at Cross Institute Settings. - Xi Yang 015; Tianchen Lyu; Chih-Yin Lee; Jiang Bian 001; William R. Hogan; Yonghui Wu (ICHI, 2019)

A study of deep learning methods for de-identification of clinical notes in cross-institute settings. - Xi Yang 015; Tianchen Lyu; Qian Li 034; Chih-Yin Lee; Jiang Bian 001; William R. Hogan; Yonghui Wu (BMC Medical Informatics Decis. Mak., 2019)

Developing and Validating a Computable Phenotype for the Identification of Transgender and Gender Nonconforming Individuals and Subgroups. - Yi Guo 005; Xing He 003; Tianchen Lyu; Hansi Zhang; Yonghui Wu; Xi Yang 015; Zhaoyi Chen; Merry J. Markham; François Modave; Mengjun Xie; William R. Hogan; Christopher A. Harle; et al. (AMIA, 2020)

Leverage Real-World Longitudinal Data in Large Clinical Research Networks for Alzheimer's Disease and Related Dementia (ADRD). - Rui Duan 004; Zhaoyi Chen; Jiayi Tong; Chongliang Luo; Tianchen Lyu; Cui Tao; Demetrius Maraganore; Jiang Bian 001; Yong Chen 016 (AMIA, 2020)

Identifying Clinical Risk Factors for Opioid Use Disorder using a Distributed Algorithm to Combine Real-World Data from a Large Clinical Data Research Network. - Jiayi Tong; Zhaoyi Chen; Rui Duan 004; Wei-Hsuan Lo-Ciganic; Tianchen Lyu; Cui Tao; Peter A. Merkel; Henry R. Kranzler; Jiang Bian 001; Yong Chen 016 (AMIA, 2020)

A Natural Language Processing Tool to Extract Quantitative Smoking Status from Clinical Narratives. - Xi Yang 015; Hanyuan Yang; Tianchen Lyu; Shuang Yang; Yi Guo 005; Jiang Bian 001; Hua Xu 001; Yonghui Wu (ICHI, 2020)

Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets. - Yunpeng Zhao; Mattia Prosperi; Tianchen Lyu; Yi Guo 005; Le Zhou; Jiang Bian 001 (IEA/AIE, 2020)

Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets. - Yunpeng Zhao; Mattia Prosperi; Tianchen Lyu; Yi Guo 005; Jiang Bian 001 (CoRR, 2020)

Assessing the practice of data quality evaluation in a national clinical data research network through a systematic scoping review in the era of real-world data. - Jiang Bian 001; Tianchen Lyu; Alexander T. Loiacono; Tonatiuh Mendoza Viramontes; Gloria P. Lipori; Yi Guo 005; Yonghui Wu; Mattia Prosperi; Thomas J. George; Christopher A. Harle; Elizabeth A. Shenkman; William R. Hogan (J. Am. Medical Informatics Assoc., 2020)

Causal AI with Real World Data: Do Statins Protect from Alzheimer's Disease Onset? - Mattia Prosperi; Shantanu Ghosh; Zhaoyi Chen; Marco Salemi; Tianchen Lyu; Jinying Zhao; Jiang Bian 001 (ICMHI, 2021)

The application of artificial intelligence and data integration in COVID-19 studies: a scoping review. - Yi Guo 005; Yahan Zhang; Tianchen Lyu; Mattia Prosperi; Fei Wang 001; Hua Xu 001; Jiang Bian 001 (J. Am. Medical Informatics Assoc., 2021)

A Preliminary Study of Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports Using Natural Language Processing. - Shuang Yang; Xi Yang 015; Tianchen Lyu; Xing He 003; Dejana Braithwaite; Hiren J. Mehta; Yi Guo 005; Yonghui Wu; Jiang Bian 001 (ICHI, 2022)

A scoping review of semantic integration of health data and information. - Hansi Zhang; Tianchen Lyu; Pengfei Yin; Sarah Bost; Xing He 003; Yi Guo 005; Mattia Prosperi; William R. Hogan; Jiang Bian 001 (Int. J. Medical Informatics, 2022)

The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records. - Piaopiao Li; Tianchen Lyu; Khalid Alkhuzam; Eliot Spector; William T. Donahoo; Sarah Bost; Yonghui Wu; William R. Hogan; Mattia Prosperi; Desmond A. Schatz; Mark A Atkinson; Michael J. Haller; et al. (J. Am. Medical Informatics Assoc., 2023)

Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports of Lung Cancer Screening Patients Using Transformer Models. - Shuang Yang; Xi Yang 015; Tianchen Lyu; James L. Huang; Aokun Chen; Xing He 003; Dejana Braithwaite; Hiren J. Mehta; Yonghui Wu; Yi Guo 005; Jiang Bian 001 (J. Heal. Informatics Res., 2024)