Chunhua Weng, Ph.D.
Affiliations: | 2005 | University of Washington, Seattle, Seattle, WA |
Area:
biomedical and health informaticsGoogle:
"Chunhua Weng"Parents
Sign in to add mentor| John H. Gennari | grad student | 2005 | University of Washington | |
| (Supporting collaborative clinical trial protocol writing through an annotation design.) | ||||
Children
Sign in to add trainee| Daniel Fort | grad student | 2015 | Columbia |
| Shreya Chakrabarti | post-doc | Columbia (Neurotree) |
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Publications
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| Wagholikar KB, Pacheco JA, Gordon AS, et al. (2025) Current Limitations of Electronic Health Record Systems in Supporting Pragmatic Clinical Trials: Insights from the eMERGE Consortium. Medrxiv : the Preprint Server For Health Sciences |
| Idnay B, Gordon ER, Johnson AS, et al. (2024) Clinical researchers' insights on key data for eligibility screening in clinical studies. Journal of Clinical and Translational Science. 8: e167 |
| Park J, Fang Y, Ta C, et al. (2024) Criteria2Query 3.0: Leveraging generative large language models for clinical trial eligibility query generation. Journal of Biomedical Informatics. 104649 |
| Natarajan K, Weng C, Sengupta S. (2023) A Model for Multi-Institutional Clinical Data Repository. Studies in Health Technology and Informatics. 302: 312-316 |
| Idnay B, Fang Y, Dreisbach C, et al. (2023) Clinical research staff perceptions on a natural language processing-driven tool for eligibility prescreening: An iterative usability assessment. International Journal of Medical Informatics. 171: 104985 |
| Fang Y, Kim JH, Idnay BR, et al. (2021) Participatory Design of a Clinical Trial Eligibility Criteria Simplification Method. Studies in Health Technology and Informatics. 281: 984-988 |
| Sun Y, Butler A, Stewart LA, et al. (2021) Building An OMOP Common Data Model-Compliant Annotated Corpus for COVID-19 Clinical Trials. Journal of Biomedical Informatics. 103790 |
| Kim JH, Ta CN, Liu C, et al. (2020) Towards clinical data-driven eligibility criteria optimization for interventional COVID-19 clinical trials. Journal of the American Medical Informatics Association : Jamia |
| Ong E, Wang LL, Schaub J, et al. (2020) Modelling kidney disease using ontology: insights from the Kidney Precision Medicine Project. Nature Reviews. Nephrology |
| Kury F, Butler A, Yuan C, et al. (2020) Chia, a large annotated corpus of clinical trial eligibility criteria. Scientific Data. 7: 281 |