Tianchen Lyu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Natural Language Processing

Pulmonary Nodules

Semantic Integration

Top Venues

J. Am. Medical Informatics Assoc.

BMC Medical Informatics Decis. Mak.

Publications

Shuang Yang, Xi Yang, Tianchen Lyu, James L. Huang, Aokun Chen, Xing He, Dejana Braithwaite, Hiren J. Mehta, Yonghui Wu, Yi Guo, Jiang Bian
Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports of Lung Cancer Screening Patients Using Transformer Models. J. Heal. Informatics Res. 8 (3) (2024)
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, Elizabeth A. Shenkman, Yi Guo, Jiang Bian, Hui Shao
The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records. J. Am. Medical Informatics Assoc. 31 (1) (2023)
Hansi Zhang, Tianchen Lyu, Pengfei Yin, Sarah Bost, Xing He, Yi Guo, Mattia C. F. Prosperi, Willian R. Hogan, Jiang Bian
A scoping review of semantic integration of health data and information. Int. J. Medical Informatics 165 (2022)
Shuang Yang, Xi Yang, Tianchen Lyu, Xing He, Dejana Braithwaite, Hiren J. Mehta, Yi Guo, Yonghui Wu, Jiang Bian
A Preliminary Study of Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports Using Natural Language Processing. ICHI (2022)
Mattia C. F. Prosperi, Shantanu Ghosh, Zhaoyi Chen, Marco Salemi, Tianchen Lyu, Jinying Zhao, Jiang Bian
Causal AI with Real World Data: Do Statins Protect from Alzheimer's Disease Onset? ICMHI (2021)
Yi Guo, Yahan Zhang, Tianchen Lyu, Mattia C. F. Prosperi, Fei Wang, Hua Xu, Jiang Bian
The application of artificial intelligence and data integration in COVID-19 studies: a scoping review. J. Am. Medical Informatics Assoc. 28 (9) (2021)
Xi Yang, Hanyuan Yang, Tianchen Lyu, Shuang Yang, Yi Guo, Jiang Bian, Hua Xu, Yonghui Wu
A Natural Language Processing Tool to Extract Quantitative Smoking Status from Clinical Narratives. ICHI (2020)
Jiayi Tong, Zhaoyi Chen, Rui Duan, Wei-Hsuan Lo-Ciganic, Tianchen Lyu, Cui Tao, Peter A. Merkel, Henry R. Kranzler, Jiang Bian, Yong Chen
Identifying Clinical Risk Factors for Opioid Use Disorder using a Distributed Algorithm to Combine Real-World Data from a Large Clinical Data Research Network. AMIA (2020)
Yi Guo, Xing He, Tianchen Lyu, Hansi Zhang, Yonghui Wu, Xi Yang, Zhaoyi Chen, Merry J. Markham, François Modave, Mengjun Xie, William R. Hogan, Christopher A. Harle, Elizabeth Shenkman, Jiang Bian
Developing and Validating a Computable Phenotype for the Identification of Transgender and Gender Nonconforming Individuals and Subgroups. AMIA (2020)
Rui Duan, Zhaoyi Chen, Jiayi Tong, Chongliang Luo, Tianchen Lyu, Cui Tao, Demetrius Maraganore, Jiang Bian, Yong Chen
Leverage Real-World Longitudinal Data in Large Clinical Research Networks for Alzheimer's Disease and Related Dementia (ADRD). AMIA (2020)
Yunpeng Zhao, Mattia C. F. Prosperi, Tianchen Lyu, Yi Guo, Jiang Bian
Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets. CoRR (2020)
Yunpeng Zhao, Mattia C. F. Prosperi, Tianchen Lyu, Yi Guo, Le Zhou, Jiang Bian
Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets. IEA/AIE (2020)
Jiang Bian, Tianchen Lyu, Alexander Loiacono, Tonatiuh Mendoza Viramontes, Gloria P. Lipori, Yi Guo, Yonghui Wu, Mattia C. F. Prosperi, Thomas J. George, Christopher A. Harle, Elizabeth A. Shenkman, William R. Hogan
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. J. Am. Medical Informatics Assoc. 27 (12) (2020)
Xi Yang, Tianchen Lyu, Chih-Yin Lee, Jiang Bian, William R. Hogan, Yonghui Wu
A Study of Deep Learning Methods for De-identification of Clinical Notes at Cross Institute Settings. ICHI (2019)
Xi Yang, Tianchen Lyu, Qian Li, Chih-Yin Lee, Jiang Bian, William R. Hogan, Yonghui Wu
A study of deep learning methods for de-identification of clinical notes in cross-institute settings. BMC Medical Informatics Decis. Mak. (5) (2019)