Chunhua Weng, Ph.D.

Affiliations: 
2005 University of Washington, Seattle, Seattle, WA 
Area:
biomedical and health informatics
Google:
"Chunhua Weng"

Parents

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John H. Gennari grad student 2005 University of Washington
 (Supporting collaborative clinical trial protocol writing through an annotation design.)

Children

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Daniel Fort grad student 2015 Columbia
Shreya Chakrabarti post-doc Columbia (Neurotree)
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Publications

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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
Burgermaster M, Son JH, Davidson PG, et al. (2020) A new approach to integrating patient-generated data with expert knowledge for personalized goal setting: A pilot study. International Journal of Medical Informatics. 139: 104158
Rogers JR, Mills H, Grossman LV, et al. (2019) Understanding the nature and scope of clinical research commentaries in PubMed. Journal of the American Medical Informatics Association : Jamia
Williams MS, Taylor CO, Walton NA, et al. (2019) Genomic Information for Clinicians in the Electronic Health Record: Lessons Learned From the Clinical Genome Resource Project and the Electronic Medical Records and Genomics Network. Frontiers in Genetics. 10: 1059
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