Xing He

According to our database, Xing He authored at least 21 papers between 2018 and 2024.

Collaborative distances:

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

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

Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework.

Jiayi Tong, Yishan Shen, Alice Xu, Xing He, Chongliang Luo, Mackenzie J. Edmondson, Dazheng Zhang, Yiwen Lu, Chao Yan, Ruowang Li, Lianne Siegel, Lichao Sun, Elizabeth A. Shenkman, Sally C. Morton, Bradley A. Malin, Jiang Bian, David A. Asch, Yong Chen

J. Am. Medical Informatics Assoc., 2024

2023

Classification of Benign and Malignant Renal Tumors Based on CT Scans and Clinical Data Using Machine Learning Methods.

Jie Xu, Xing He, Wei Shao, Jiang Bian, Russell Terry

Informatics, 2023

Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias.

Zhaoyi Chen, Hansi Zhang, Xi Yang, Songzi Wu, Xing He, Jie Xu, Jingchuan Guo, Mattia Prosperi, Fei Wang, Hua Xu, Yong Chen, Hui Hu, Steven DeKosky, Matthew Farrer, Yi Guo, Yonghui Wu, Jiang Bian

Int. J. Medical Informatics, 2023

2022

Biases in using social media data for public health surveillance: A scoping review.

Yunpeng Zhao, Xing He, Zheng Feng, Sarah Bost, Mattia Prosperi, Yonghui Wu, Yi Guo, Jiang Bian

Int. J. Medical Informatics, 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

Impacts of Eligibility Criteria on Trial Participants' Age in Alzheimer's Disease Clinical Trials.

Aokun Chen, Qian Li, Xing He, Michael Jaffee, William R. Hogan, Fei Wang, Yi Guo, Jiang Bian

Proceedings of the AMIA 2022, 2022

2021

Data and Model Biases in Social Media Analyses: A Case Study of COVID-19 Tweets.

Yunpeng Zhao, Pengfei Yin, Yongqiu Li, Xing He, Jingcheng Du, Cui Tao, Yi Guo, Mattia Prosperi, Pierangelo Veltri, Xi Yang, Yonghui Wu, Jiang Bian

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Causal inference and counterfactual prediction in machine learning for actionable healthcare.

Mattia Prosperi, Yi Guo, Matthew Sperrin, James S. Koopman, Jae S. Min, Xing He, Shannan N. Rich, Mo Wang, Iain E. Buchan, Jiang Bian

Nat. Mach. Intell., 2020

User-centered design of a web-based crowdsourcing-integrated semantic text annotation tool for building a mental health knowledge base.

Xing He, Hansi Zhang, Jiang Bian

J. Biomed. Informatics, 2020

Assessing mental health signals among sexual and gender minorities using Twitter data.

Yunpeng Zhao, Yi Guo, Xing He, Yonghui Wu, Xi Yang, Mattia Prosperi, Yanghua Jin, Jiang Bian

Health Informatics J., 2020

When text simplification is not enough: could a graph-based visualization facilitate consumers' comprehension of dietary supplement information?

Xing He, Rui Zhang, Jordan Alpert, Sicheng Zhou, Terrence J. Adam, Aantaki Raisa, Yifan Peng, Hansi Zhang, Jiang Bian

CoRR, 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

ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design.

Xing He, Rui Zhang, Rubina F. Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, Mattia Prosperi, Jinhai Huo, Jordan Alpert, Jiang Bian

BMC Medical Informatics Decis. Mak., 2019

Aero: An Evidence-based Semantic Web Knowledge Base of Cancer Behavioral Risk Factors.

Hansi Zhang, Xing He, Tyler Harrison, Jiang Bian

Proceedings of the 4th International Workshop on Semantics-Powered Data Mining and Analytics co-located with the 18th International Semantic Web Conference (ISWC 2019), 2019

STAT: A Web-based Semantic Text Annotation Tool to Assist Building Mental Health Knowledge Base.

Xing He, Hansi Zhang, Xi Yang, Yi Guo, Jiang Bian

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

Towards an Interactive Visualization for Dietary Supplement Knowledge Graph.

Xing He, Jiang Bian

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

2018

Assessing Mental Health Signals Among Sexual and Gender Minorities using Twitter Data.

Yunpeng Zhao, Yi Guo, Xing He, Jinhai Huo, Yonghui Wu, Xi Yang, Jiang Bian

Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018

Prototyping an Interactive Visualization of Dietary Supplement Knowledge Graph.

Xing He, Rui Zhang, Rubina F. Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, Mattia Prosperi, Jiang Bian

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Computable Eligibility Criteria through Ontology-driven Data Access: A Case Study of Hepatitis C Virus Trials.

Hansi Zhang, Zhe He, Xing He, Yi Guo, David R. Nelson, François Modave, Yonghui Wu, William R. Hogan, Mattia Prosperi, Jiang Bian

Proceedings of the AMIA 2018, 2018