Department of Biomedical Informatics

Profile

Wendy Chapman, PhD

Assistant Professor of Biomedical Informatics

Assistant Professor of Intelligent Systems

Contact Info:

Parkvale Building
M-174
200 Meyran Avenue

Phone: (412) 647-7167
E-mail: WEC6@PITT.EDU
Website: http://www.dbmi.pitt.edu/chapman/

Research Interests
  • Natural language processing
  • Biosurveillance
  • Clinical decision support
Education

PhD Medical Informatics, University of Utah

Publications
Refereed Journal Articles
  • Dara J, Dowling JN, Travers DA, Cooper GF, Chapman WW. Evaluation of Preprocessing Techniques for Chief Complaint Classification. J Biomed Inform 2008 Aug;41(4):613-23.
  • Haas SW, Travers D, Tintinalli JE, Pollock D, Waller A, Barthell E, Burt C, Chapman W, Coonan K, Kamens D, McClay J. Towards Vocabulary Control for Chief Complaint. Acad Emerg Med 2008: (in press).
  • Harkema H, Thornblade T, Dowling J, Chapman WW. Portability of ConText: An Algorithm for determining Negation, Experiencer, and Temporal Status from Clinical Reports. (under review)
  • Chapman WW, Dowling JN, Hripcsak G. Evaluation of training with an annotation schema for manual annotation of clinical conditions from emergency department reports. Int J Med Inform. 2007 Feb 19; [Epub ahead of print] PMID: 17317291 [PubMed - as supplied by publisher]
  • Chapman WW, Dowling JN. Can chief complaints identify patients with febrile syndromes? Advances in Disease Surveillance, 2007 3(6):1-9.
  • Liu K, Chapman W, Hwa R, Crowley RS. Heuristic sample selection to minimize reference standard training set for a part-of-speech tagger. J Am Med Inform Assoc. 2007 Sep-Oct;14(5):641-50. Epub 2007 Jun 28. PMID: 17600099 [PubMed - in process]
  • Fiszman M, Chapman WW, Aronsky D, Evans RS, Haug PJ. Automatic detection of acute bacterial pneumonia from chest x-ray reports. J Am Med Inform Assoc. 2000;7:593-604.
  • Chapman WW, Fiszman M, Chapman BE, Frederick P, Haug PJ. Quantifying the characteristics of clear chest x-ray reports in the context of pneumonia. Acad Radiol. 2001 Jan;8(1):57-66.
  • Chapman WW, Fiszman M, Christensen L, Haug PJ. A comparison of classification algorithms to automatically identify chest x-ray reports that support pneumonia. J Biomed Inform. 2001 Feb;34(1):4-14.
  • Chapman WW, Bridewell W, Hanbury P, Cooper GF, Buchanan BG. A simple algorithm for identifying negated findings and diseases in discharge summaries. J Biomed Inform. 2001 Oct;34(5):301-10.
  • Chapman WW, Cooper GF, Hanbury P, Chapman BE, Harrison LH, Wagner MM. Creating a text classifier to detect radiology reports describing mediastinal findings associated with inhalational anthrax and other disorders. J Amer Inform Assoc. 2003;10(5):494-503.
  • Trick WE, Chapman WW, Wisniewski MF, Peterson BJ, Solomon SL, Weinstein RA. Electronic interpretation of chest radiograph reports to detect central venous catheters. Infect Control Hosp Epidemiol. 2003;24:950-954.
  • Gesteland PH, Gardner RM, Tsui FC, Espino JU, Rolfs RT, James BC, Chapman WW, Moore AW, Wagner MM. Automated syndromic surveillance for the 2002 Winter Olympics. J Amer Inform Assoc. 2003;10(6):547-54.
  • Chapman WW, Dowling JN, Wagner MM. Fever detection from free-text clinical records for biosurveillance. J Biomed Inform. 2004;37(2):120-127.
  • Wagner M, Espino J, Tsui FC, Gesteland P, Chapman W, Ivanov O, Moore A, Wong W, Dowling J, Hutman J. Syndrome and outbreak detection using chief-complaint data –experience of the real-time outbreak and disease surveillance project. MMWR 2004;53(Suppl):28-31.
  • Espino J, Wagner M, Szczepaniak C, Tsui FC, Olszewski R, Liu Z, Chapman W, Zeng X, Ma L, Lu Z, Dara J. Removing a barrier to computer-based outbreak and disease surveillance – the RODS open source project. MMWR 2004;53(Suppl):32-39.
  • Chapman WW, Christensen LM, Wagner MM, Haug PJ, Ivanov O, Dowling JN, Olszewski RT. Classifying free-text chief complaints into syndromic categories with natural language processing. AI in Med. 2005;33(1):31-40.
  • Chapman WW, Dowling JN, Wagner MM. Classification of emergency department chief complaints into seven syndromes: A retrospective analysis of 527,228 patients. Ann Emerg Med 2005;46(5):445-455.
  • Chapman WW, Dowling JN. Generating a reliable reference standard set for syndromic case classification. J Amer Med Inform. 2005 12(6):618-629.
  • Chapman WW, Dowling JN. Inductive creation of an annotation schema for manually indexing clinical conditions from ED Reports. J Biomed Inform. 2006 Apr;39(2):196-208.
  • Chapman WW, Dowling JN. Can chief complaints detect febrile syndromic patients? 2006 (under review).
Refereed Conference Proceedings
  • Chapman WW, Chu D, Dowling JN. ConText: An algorithm for identifying contextual features from clinical text. BioNPL Workshop of the Association for Computational Linguistics Prague, Czech Republic; 2007. p 81-88.
  • Chapman WW, Haug PJ. Bayesian modeling for linking causally related observations in chest x-ray reports. Proc American Medical Informatics Association Symp. 1998:587-91.
  • Chapman WW, Haug PJ. Comparing expert systems for identifying chest x-ray reports that support pneumonia. Proc American Medical Informatics Association Symp. 1999:216-20.
  • Fiszman M, Chapman WW, Evans SR, Haug PJ. Automatic identification of pneumonia related concepts on chest x-ray reports. Proc American Medical Informatics Association Symp. 1999:67-71.
  • Chapman WW, Aronsky D, Fiszman M, Haug PJ. Contribution of a speech recognition system to a computerized pneumonia guideline in the emergency department. Proc American Medical Informatics Association Symp. 2000:131-135.
  • Chapman WW, Bridewell W, Hanbury P, Cooper GF, Buchanan BG. Evaluation of negation phrases in narrative clinical reports. Proc American Medical Informatics Association Symp. 2001:105-9.
  • Aronsky D, Fiszman M, Chapman WW, Haug PJ. Combining decision support methodologies to diagnose pneumonia. Proc American Medical Informatics Association Symp. 2001:12-6.
  • Gesteland PH, Wagner MM, Chapman WW, Espino JU, Tsui F, Gardner RM, Rolfs RT, Dato V, James BC, Colecchia TJ, Haug PJ. Rapid deployment of an electronic disease surveillance system in the state of Utah for the 2002 Olympic winter games. Proc American Medical Informatics Association Symp. 2002:285-9.
  • Smith CA, Stavri P, Chapman WW. In their own words? A terminological analysis of e-mails to a cancer information service. Proc American Medical Informatics Association Symp. 2002:697-701.
  • Tsui FC, Espino JU, Wagner MM, Gesteland P, Ivanov O, Olszewski RT, Liu Z, Zeng X, Chapman W, Wong WK, Moore A. Data, Network, and Application: Technical Description of the Utah RODS Winter Olympic Biosurveillance System. Proc American Medical Informatics Association Symp. 2002:815-9.
  • Ivanov O, Wagner MM, Chapman WW, Olszewski RT. Accuracy of three classifiers of acute gastrointestinal syndrome for syndromic surveillance. Proc American Medical Informatics Association Symp. 2002:345-9.
  • Goldin I, Chapman WW. Learning to detect negation with ‘not’ in medical texts. Proceedings of the Workshop on Text Analysis and Search for Bioinformatics at the 26th Annual International ACM SIGIR Conference (SIGIR-2003). Eds. Eric Brown, William Hersh and Alfonso Valencia.
  • Chapman WW, Fiszman M, Dowling JN, Chapman BE, Rindflesch TC. Identifying respiratory findings in emergency department reports for biosurveillance using MetaMap. Medinfo 2004;2004:487-91.
  • Johnson HA, Wagner MM, Hogan WR, Chapman W, Olszewski RT, Dowling J, Barnas G. Analysis of web access logs for surveillance of influenza. Medinfo 2004;2004:1202-6.
  • Espino J, Wagner M, Tsui FC, Su HD, Olszewski RT, Liu Z, Chapman W, Ma L, Dara J, Lu ZW, Zeng X. The RODS open source project for development of syndromic surveillance software. Medinfo 2004;2004:1192-6.
  • Mitchell K, Becich M, Berman J, Chapman W, Gilbertson J, Gupta D, Harrison J, Zeng Q, Crowley R. Implementation and evaluation of a negation tagger in a pipeline-based system for information extraction from pathology reports. Medinfo 2004;2004:663-7.
  • Liu KH, Mitchell KJ, Chapman WW, Crowley RS. Evaluating GATE pipeline information extraction from pathology reports. Proc American Medical Informatics Association Symp. 2005 (in press).
  • Chu D, Dowling JN, Chapman WW. Evaluating the effectiveness of four features in classifying annotated clinical conditions in emergency department reports. Proc American Medical Informatics Association Symp. 2006 (in press).
Grants

Grant Number: 1K22LM008301-01
Project Title: Natural Language Processing for Respiratory Surveillance

Lab Personnel

John N. Dowling, MD, MS