Tianchen Lyu

According to our database, Tianchen Lyu authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports of Lung Cancer Screening Patients Using Transformer Models.

Shuang Yang, Xi Yang, Tianchen Lyu, James L. Huang, Aokun Chen, Xing He, Dejana Braithwaite, Hiren J. Mehta, Yonghui Wu, Yi Guo, Jiang Bian

J. Heal. Informatics Res., September, 2024

2023

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, Elizabeth A. Shenkman, Yi Guo, Jiang Bian, Hui Shao

J. Am. Medical Informatics Assoc., December, 2023

2022

A scoping review of semantic integration of health data and information.

Hansi Zhang, Tianchen Lyu, Pengfei Yin, Sarah Bost, Xing He, Yi Guo, Mattia Prosperi, William R. Hogan, Jiang Bian

Int. J. Medical Informatics, 2022

A Preliminary Study of Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports Using Natural Language Processing.

Shuang Yang, Xi Yang, Tianchen Lyu, Xing He, Dejana Braithwaite, Hiren J. Mehta, Yi Guo, Yonghui Wu, Jiang Bian

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

2021

The application of artificial intelligence and data integration in COVID-19 studies: a scoping review.

Yi Guo, Yahan Zhang, Tianchen Lyu, Mattia Prosperi, Fei Wang, Hua Xu, Jiang Bian

J. Am. Medical Informatics Assoc., 2021

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

Proceedings of the ICMHI 2021: 5th International Conference on Medical and Health Informatics, 2021

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, Tianchen Lyu, Alexander T. Loiacono, Tonatiuh Mendoza Viramontes, Gloria P. Lipori, Yi Guo, Yonghui Wu, Mattia Prosperi, Thomas J. George, Christopher A. Harle, Elizabeth A. Shenkman, William R. Hogan

J. Am. Medical Informatics Assoc., 2020

Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets.

Yunpeng Zhao, Mattia Prosperi, Tianchen Lyu, Yi Guo, Jiang Bian

CoRR, 2020

Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets.

Yunpeng Zhao, Mattia Prosperi, Tianchen Lyu, Yi Guo, Le Zhou, Jiang Bian

Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

A Natural Language Processing Tool to Extract Quantitative Smoking Status from Clinical Narratives.

Xi Yang, Hanyuan Yang, Tianchen Lyu, Shuang Yang, Yi Guo, Jiang Bian, Hua Xu, Yonghui Wu

Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 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, Wei-Hsuan Lo-Ciganic, Tianchen Lyu, Cui Tao, Peter A. Merkel, Henry R. Kranzler, Jiang Bian, Yong Chen

Proceedings of the AMIA 2020, 2020

Leverage Real-World Longitudinal Data in Large Clinical Research Networks for Alzheimer's Disease and Related Dementia (ADRD).

Rui Duan, Zhaoyi Chen, Jiayi Tong, Chongliang Luo, Tianchen Lyu, Cui Tao, Demetrius Maraganore, Jiang Bian, Yong Chen

Proceedings of the AMIA 2020, 2020

Developing and Validating a Computable Phenotype for the Identification of Transgender and Gender Nonconforming Individuals and Subgroups.

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

Proceedings of the AMIA 2020, 2020

2019

A study of deep learning methods for de-identification of clinical notes in cross-institute settings.

Xi Yang, Tianchen Lyu, Qian Li, Chih-Yin Lee, Jiang Bian, William R. Hogan, Yonghui Wu

BMC Medical Informatics Decis. Mak., 2019

A Study of Deep Learning Methods for De-identification of Clinical Notes at Cross Institute Settings.

Xi Yang, Tianchen Lyu, Chih-Yin Lee, Jiang Bian, William R. Hogan, Yonghui Wu

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019