Chunhua Weng, PhD, FACMI
Professor of Biomedical Informatics
Columbia University
Dr. Chunhua Weng is a Professor of Biomedical Informatics at Columbia University, where she has been a faculty member since 2007. Before arriving at Columbia, she obtained a bachelor degree in computer science from Nankai University, P. R. China, a master’s degree in Information and Computer Science from University of California at Irvine, and a Ph.D. in Biomedical and Health Informatics from University of Washington at Seattle. Dr. Weng has pioneered knowledge-based and data-driven methods for optimizing clinical research participant selection and for matching clinical studies to research volunteers, and has jointly invented GIST (Generalizability Index of Study Traits) version 1.0 and 2.0 with Dr. Patrick Ryan and her research team. Dr. Weng has also contributed open-source software for parsing unstructured narratives in the public ClinicalTrials.gov. She has published extensively in clinical trial knowledge management, text knowledge engineering, EHR phenotyping and cohort identification, clinical data quality, and evidence appraisal. Dr. Weng co-leads Columbia University’s eMERGE (Electronic Medical Records and Genomics) and Biomedical Data Translator projects and has an active R01 from the National Library of Medicine for Bridging the semantic gap between clinical research eligibility criteria and clinical data. In recognition to her significant contributions to the field of biomedical and health informatics, Dr. Weng was elected as a fellow of the American College of Medical Informatics (ACMI) in 2015.
Please feel free to visit her web site for more details: http://people.dbmi.columbia.edu/~chw7007/
Yuan C, Ryan PB, Ta C, Guo Y, Li Z, Hardin J, Markadia R, Jin P, Shang N, Kang T, Weng C, Criteria2Query: A Natural Language Interface to Clinical Databases for Cohort Definition, J Am Med Inform Assoc, in press, 2019. [Link]
Sen A, Goldstein A, Chakrabarti S, Shang N, Kang T, Yaman A, Ryan P, Weng C, The Representativeness of Eligible Patients in Type 2 Diabetes Trials: A Case Study Using GIST 2.0. J Am Med Inform Assoc, 2017, in press, [link].
Shang N, Weng C, Hripcsak G, A Conceptual Framework for Evaluating Data Suitability for Observational Studies, J Am Med Inform Assoc, 2017, in press, [link].
Goldstein A, Venker E, Weng C, Evidence Appraisal: A Scoping Review, Conceptual Framework, and Research Agenda, J Am Med Inform Assoc, 2017, in press.
Kang T, Zhang S, Tang Y, Hruby GW, Rusanov A, Elhadad N, Weng C, EliIE: An Open-Source Information Extraction System for Clinical Trial Eligibility Criteria, J Am Med Inform Assoc, 2017 Apr 1. doi: 10.1093/jamia/ocx019. [Epub ahead of print] PMID: 28379377. [Github]
Chakrabarti S, Sen A, Huser V, Hruby GW, Rusanov A, Albers DJ, Weng C, An Interoperable Similarity-based Cohort Identification Method Using the OMOP Common Data Model version 5.0, Journal of Healthcare Informatics Research. [link]
Sen A, Goldstein A, Chakrabarti S, Wang S, Ryan P, Weng C, GIST 2.0: A Scalable Multi-trait Metric for Quantifying Population Representativeness of Individual Clinical Studies, J Biomed Inform, 2016.
Weiskopf NG, Bakken S, Hripcsak G, Weng C, A Data Quality Assessment Guideline for Electronic Health Record Data Reuse, eGEMS, accepted. [PDF]
Si Y, Weng C, An OMOP CDM-based Relational Database of Clinical Research Eligibility Criteria, Medinfo’ 2017, Hangzhou, China, Aug 21-25, 2017, in press.
Weng C, Li Y, Ryan P, Zhang Y, Gao J, Liu F, Bigger JT, Hripcsak G, A Distribution-based Method for Assessing The Differences between Clinical Trial Target Populations and Patient Populations in Electronic Health Records, Applied Clinical Informatics, Vol. 5: Issue 2 2014, 463-479.
He Z, Carini S, Sim I, Weng C, Visual Aggregate Analysis of Eligibility Features in Clinical Trials, Journal of Biomedical Informatics, 2015 Jan 20. pii: S1532-0464(15)00007-6. PMID: 25615940
He Z, Chandar P, Ryan PB, Weng C, Simulation-based Evaluation of the Generalizability Index for Study Traits, AMIA Annu Fall Symp, 2015, in press
He Z, Wang S, Borhanian E, Weng C, Assessing the Collective Population Representativeness of Related Type 2 Diabetes Trials by Combining Multiple Public Data Resources, Proc of MedInfo’2015, Sao Paulo, Brazil, 19-23 August, accepted
He Z, Carini S, Sim I, Weng C, Visual Aggregate Analysis of Eligibility Features in Clinical Trials, Journal of Biomedical Informatics, 2015 Jan 20. pii: S1532-0464(15)00007-6. PMID: 25615940
Weng C, Li Y, Ryan P, Zhang Y, Gao J, Liu F, Bigger JT, Hripcsak G, A Distribution-based Method for Assessing The Differences between Clinical Trial Target Populations and Patient Populations in Electronic Health Records, Applied Clinical Informatics, Vol. 5: Issue 2 2014, 463-479.
Rusanov A*, Weiskopf NG*, Wang S, Weng C, Hidden in plain sight: bias towards sick patients when sampling patients with sufficient electronic health record data for research, BMC Medical Informatics and Decision Making, 2014 Jun 11;14(1):51, in press. (*: equal-contribution first authors)
Hao T, Rusanov A, Boland MR, Weng C, Clustering Clinical Trials with Similar Eligibility Criteria Features, J Biomed Inform, 2014 Feb 1. pii: S1532-0464(14)00011-2.
Miotto R, Weng C, Unsupervised Mining of Frequent Tags for Efficient Clinical Eligibility Text Indexing, J Biomed Inform, 2013 Dec;46(6):1145-51.
Miotto R, Jiang S, Weng C, eTACTS: A Method for Dynamically Filtering Clinical Trial Search Results, J Biomed Inform, 2013 Dec;46(6):1060-7.
Overby CL, Pathak J, Haerian K, Perotte A, Murphy S, Bruce K, Johnson S, Talwalker J, Chute C, Kullo I, Friedman C, Shen Y, Gottesman O, Ellis S, Bottinger E, Hripcsak G, Weng C, A collaborative approach to develop an electronic health record phenotyping algorithm for drug-induced liver injury, J Am Med Inform Assoc, 2013 Dec;20(e2):e243-52.
Weiskopf NG, Hripcsak G, Sushmita S, Weng C, Defining and measuring completeness for electronic health records for secondary use. J Biomed Inform, 2013 Oct;46(5):830-6.
Boland MR, Hripcsak G, Albers DJ, Wei Y, Wilcox AB, Wei J, Li J, Lin S, Breene M, Myers R, Zimmerman J, Papapanou P, Weng C, Discovering Medical Conditions Associated with Periodontitis Using Linked Electronic Health Records, J of Clin Periodontol, 2013, 2013 May; 40 (5): 474-82.
Weiskopf NG, Weng C, Methods and Dimensions of EHR Data Quality Assessment: Enabling Reuse for Clinical Research, J Am Med Inform Assoc. 2013 Jan 1;20(1):144-51.
Luo Z, Miotto R, Weng C, A Human-Computer Collaborative Approach to Identifying Common Data Elements in Clinical Trial Eligibility Criteria, J Biomed Inform, 2013 Feb;46(1):33-9.
Weng C, Appelbaum P, Hripcsak G, Kronish I, Busacca L, Davidson KW, Bigger JT, Using EHRs to Integrate Research with Patient Care: Promises and Challenges, J Am Med Inform Assoc, 2012, Sep 1;19(5):684-7.
Kahn MG, Weng C, Clinical Research Informatics: A Conceptual Perspective. J Am Med Inform Assoc, 2012, Jun 1;19(e1):e36-e4.
Weng C, Wu X, Luo Z, Boland M, Theodoratos D, Johnson SB, EliXR: An Approach to Eligibility Criteria Extraction and Representation. J Am Med Inform Assoc, 2011:18: i116-i124. (Distinguished Paper of 2011 AMIA Clinical Research Informatics Summit)
Luo Z, Yetisgen-Yildiz M, Weng C, Dynamic Categorization of Clinical Research Eligibility Criteria by Hierarchical Clustering, J Biomed Inform, 2011 (44): 927-935.
Weng C, Tu SW, Sim I, Richesson R, Formal Representations of Eligibility Criteria: A Literature Review, J Biomed Inform: 43(2010), 451-467.
