Ph.D. Dissertation

• Chapman WW. Using natural language processing to assist decision support and quality assurance in radiology [PDF].
  Ph.D. dissertation, University of Utah, 2000.

1. 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. [PDF]
2. Chapman WW, Fiszman M, Chapman BE, Frederick P, Haug PJ. Quantifying the characterisitics of clear chest x-ray reports in the context of pneumonia. Acad Radiol. 2001 Jan;8(1):57-66. [PDF]
3. 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. [PDF]
4. Chapman WW, Bridewell W, Hanbury P, Cooper GF, Buchanan BR. A simple algorithm for identifying negated findings and diseases in discharge summaries. J Biomed Inform. 2001 Oct;34(5):301-10. [PDF]
5. 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. [PDF]
6. 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. [PDF]
7. Gesteland PH, Gardner RM, Tsui FC, Espino JU, Rolfs RT, James BC, Chapman WW, Moore AW, Wagner MW. Automated Syndromic Surveillance for the Winter 2002 Olympics. J Amer Inform Assoc 2003;10(6):547-54.[PDF]
8.   Chapman WW, Christensen LM, Wagner MM, et al. Classifying free-text chief complaints into syndromic categories with natural language processing. AI in Med. 2005;33(1):31-40. [PDF]
9. Chapman WW, Dowling JN, Wagner MM. Fever detection from free-text clinical records for biosurveillance. J Biomed Inform 2004;37(2):120-127. [PDF]
10. 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 (under review).

Proceedings

1. Chapman WW, Haug PJ. Bayesian modeling for linking causally related observations in chest x-ray reports. Proc AMIA Symp. 1998;:587-91. [PDF]
2. Chapman WW, Haug PJ. Comparing expert systems for identifying chest x-ray reports that support pneumonia. Proc AMIA Symp. 1999;:216-20. [PDF]
3. Fiszman M, Chapman WW, Evans SR, Haug PJ. Automatic identification of pneumonia related concepts on chest x-ray reports. Proc AMIA Symp. 1999;:67-71. [PDF].
4. Chapman WW, Aronsky D, Fiszman M, Haug PJ. Contribution of a speech recognition system to a computerized pneumonia guideline in the emergency department. Proc AMIA Proceedings, 2000;:131-135. [PDF]
5. Chapman WW, Bridewell W, Hanbury P, Cooper GF, Buchanan BR. Evaluation of negation phrases in narrative clinical reports. Proc AMIA Symp. 2001;:105-9. [PDF]
6. Aronsky D, Fiszman M, Chapman WW, Haug PJ. Combining decision support methodologies to diagnose pneumonia. Proc AMIA Symp. 2001;:12-6. [PDF]
7. Gesteland PH, Wagner MM, Chapman WW, et al. Rapid deployment of an electronic disease surveillance system in the state of Utah for the 2002 olympic winter games. Proc AMIA Symp. 2002;:285-9. [PDF]
8. Smith CA, Stavri P, Chapman WW. In their own words? A terminological analysis of e-mails to a cancer information service. Proc AMIA Symp. 2002;:697-701. [PDF]
9.   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 AMIA Symp. 2002;:815-9. [PDF]
10.   Ivanov O, Wagner MM, Chapman WW, Olszewski RT. Accuracy of three classifiers of acute gastrointestinal syndrome for syndromic surveillance. Proc AMIA Symp. 2002;:345-9. [PDF]
11. Goldin I, Chapman WW. Learning to detect negation with `not' in medical texts. Proc ACM: SIGIR 2003. [PDF]
12. Chapman WW, Fiszman M, Dowling JN, Chapman BE, Rindflesch TC. Identifying Respiratory Findings in Emergency Department Reports for Biosurveillance using MetaMap. MEDINFO 2004:487-91. [PDF]
13. Johnson HA, Wagner MM, Hogan WR, Chapman W, Olszewski RT, Dowling J, Barnas G. Analysis of web access logs for surveillance of influenza. MEDINFO 2004:1202-6. [PDF]
14. 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 2004:1192-6. [PDF]
15. 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 2004:663-7. [PDF]
16. Chapman WW, Dowling JN, Ivanov O, Gesteland PH, Espino JU, Wagner MM. Evaluating natural language processing applications applied to outbreak and disease surveillance. Proc 36th Symposium on the Interface: Computing Science and Statistics 2004 (in press). [PDF]

Posters/Abstracts

• Chapman WW, Fiszman M, Haug PJ. Correct vs. parsed data for inferring pneumonia in chest x-ray reports [PDF]. AMIA Symp. 1999;:1038.
• Aronsky D, Fiszman M, Chapman WW, Davis AF, Reichert J, Suchyta MR, Haug PJ, Dean NC. Unlocking pneumonia related findings from narrative chest x-ray reports for computerizing clinical guidelines. ATS (American Thoracic Society) 2000, Toronto.
• Eardley DD, Aronsky D, Chapman WW, Haug PJ. Using decision tree classifiers to confirm pneumonia diagnosis [ PDF ]. Proc. AMIA Symp. 2000;:999.
• Chapman WW, Wagner MM, Ivanov O, Olszewski RT, Dowling JN. Syndromic surveillance from free-text triage chief complaints. Supplement to J Urban Health 2003;80:i120. [PDF]
• Chapman WW, Dowling JN, Ivanov O, Olszewski RT, Wagner MM. Three stages of evaluation for syndromic surveillance from chief complaint classification. Syndromic Surveillance Conference, November, 2004, Boston.

• Chief Complaints are Useful for Outbreak Detection [PPT]. Presented to the Utah Department of Health, Salt Lake City, Utah, March 12, 2003.
•   "Active Surveillance Using Free-text Analysis" presented at Science 2002, University of Pittsburgh/Carnegie Mellon University , Pittsburgh , PA (Sept. 2002).
• "Natural Language Processing for Infection Surveillance" presented at the 43^rd Interscience Conference on Antimicrobial Agents and Chemotherapy (ICAAC), Chicago, IL (Sept. 2003). [PPT]
• "Natural Language Processing for Biosurveillance" presented at the Interface 2004: Computational Biology and Bioinformatics 36th SYMPOSIUM ON THE INTERFACE, Baltimore , Maryland (May 2004). [PPT]
• "Natural Language Processing for Biosurveillance" presented at the National Institute of Informatics, Tokyo , Japan (May 2004).
• "Three Stages of Evaluation for Syndromic Surveillance from Chief Complaint Classification" presented at the Syndromic Surveillance Conference, Boston (November 2004).  [PPT]