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Xing He 0003
Person information
- affiliation: University of Florida, Department of Health Outcomes and Biomedical Informatics, FL, USA
Other persons with the same name
- Xing He — disambiguation page
- Xing He 0001
— Southwest University, School of Electronics and Information Engineering, Chongqing, China (and 1 more)
- Xing He 0002
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2020 – today
- 2024
- [j10]Jiayi Tong, Yishan Shen, Alice Xu, Xing He
Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework. J. Am. Medical Informatics Assoc. 31(6): 1303-1312 (2024) - [j9]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): 463-477 (2024) - 2023
- [j8]Zhaoyi Chen, Hansi Zhang, Xi Yang, Songzi Wu, Xing He, Jie Xu, Jingchuan Guo
Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias. Int. J. Medical Informatics 170: 104973 (2023) - [j7]Jie Xu
Classification of Benign and Malignant Renal Tumors Based on CT Scans and Clinical Data Using Machine Learning Methods. Informatics 10(3): 55 (2023) - 2022
- [j6]Yunpeng Zhao, Xing He, Zheng Feng, Sarah Bost, Mattia Prosperi, Yonghui Wu, Yi Guo, Jiang Bian:
Biases in using social media data for public health surveillance: A scoping review. Int. J. Medical Informatics 164: 104804 (2022) - [j5]Hansi Zhang, Tianchen Lyu, Pengfei Yin, Sarah Bost, Xing He, Yi Guo, Mattia Prosperi, William R. Hogan, Jiang Bian:
A scoping review of semantic integration of health data and information. Int. J. Medical Informatics 165: 104834 (2022) - [c10]Aokun Chen, Qian Li, Xing He, Michael Jaffee, William R. Hogan, Fei Wang, Yi Guo, Jiang Bian:
Impacts of Eligibility Criteria on Trial Participants' Age in Alzheimer's Disease Clinical Trials. AMIA 2022 - [c9]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: 618-619 - 2021
- [c8]Yunpeng Zhao, Pengfei Yin, Yongqiu Li, Xing He, Jingcheng Du, Cui Tao, Yi Guo, Mattia Prosperi, Pierangelo Veltri, Xi Yang, Yonghui Wu, Jiang Bian:
Data and Model Biases in Social Media Analyses: A Case Study of COVID-19 Tweets. AMIA 2021 - 2020
- [j4]Yunpeng Zhao
Assessing mental health signals among sexual and gender minorities using Twitter data. Health Informatics J. 26(2): 765-786 (2020) - [j3]Xing He
User-centered design of a web-based crowdsourcing-integrated semantic text annotation tool for building a mental health knowledge base. J. Biomed. Informatics 110: 103571 (2020) - [j2]Mattia Prosperi
Causal inference and counterfactual prediction in machine learning for actionable healthcare. Nat. Mach. Intell. 2(7): 369-375 (2020) - [c7]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 - [i1]Xing He, Rui Zhang, Jordan Alpert, Sicheng Zhou, Terrence J. Adam, Aantaki Raisa, Yifan Peng, Hansi Zhang, Jiang Bian:
When text simplification is not enough: could a graph-based visualization facilitate consumers' comprehension of dietary supplement information? CoRR abs/2007.02333 (2020)
2010 – 2019
- 2019
- [j1]Xing He
ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design. BMC Medical Informatics Decis. Mak. 19-S(4): 150:1-150:18 (2019) - [c6]Xing He
Towards an Interactive Visualization for Dietary Supplement Knowledge Graph. ICHI 2019: 1 - [c5]Xing He
STAT: A Web-based Semantic Text Annotation Tool to Assist Building Mental Health Knowledge Base. ICHI 2019: 1-4 - [c4]Hansi Zhang, Xing He, Tyler Harrison, Jiang Bian:
Aero: An Evidence-based Semantic Web Knowledge Base of Cancer Behavioral Risk Factors. SEPDA@ISWC 2019: 7-11 - 2018
- [c3]Hansi Zhang, Zhe He, Xing He, Yi Guo, David R. Nelson, François Modave, Yonghui Wu, William R. Hogan, Mattia Prosperi, Jiang Bian:
Computable Eligibility Criteria through Ontology-driven Data Access: A Case Study of Hepatitis C Virus Trials. AMIA 2018 - [c2]Xing He
Prototyping an Interactive Visualization of Dietary Supplement Knowledge Graph. BIBM 2018: 1649-1652 - [c1]Yunpeng Zhao, Yi Guo, Xing He
Assessing Mental Health Signals Among Sexual and Gender Minorities using Twitter Data. ICHI Workshops 2018: 51-52
Coauthor Index
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