Automated syndromic classification of chief complaint records

Johns Hopkins APL Technical Digest (Applied Physics Laboratory)

Volumn 25, Issue 1, 2004, Pages 68-75

  Sniegoski, Carol A ^a  

^a Natl Security Technology Department   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL WARFARE; BIOSURVEILLANCE; DISEASE OUTBREAKS;

DATA ACQUISITION; DIAGNOSIS; DISEASE CONTROL; MEDICAL APPLICATIONS; PATIENT TREATMENT; STATISTICAL METHODS;

BIOMEDICAL ENGINEERING;

EID: 8344230747     PISSN: 02705214     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

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2. Bioterrorism Preparedness and Response: Use of Information Technologies and Decision Support Systems, Evidence Report/Technology Assessment No. 59, Agency for Healthcare Research and Quality, Rockville, MD (Jul 2002).
3. Graham, J., Buckeridge, D., Choy, M., and Musen, M., "Conceptual Heterogeneity Complicates Automated Syndromic Surveillance for Bioterrorism," in Proc. Am. Med. Informatics Assoc. (AMIA) Symp., p. 1030 (9-13 Nov 2002).
4. Mocny, M., Cochrane, D. G., Allegra, J. R., Nguyen, T., Heffernan, et al., "A Comparison of Two Methods of Biosurveillance of Respiratory Disease in the Emergency Department: Chief Complaint vs. ICD9 Diagnosis Code," Acad. Emerg. Med. 10(5), 513 (2003).
5. Begier, E. M., Sockwell, D., Branch, L. M., Davles-Cole, J. O., Jones, L. H., et al., "The National Capital Region's Emergency Department Syndromic Surveillance System: Do Chief Complaint and Discharge Diagnosis Yield Different Results?" Emerg. Infect. Dis. 9(3), 393-396 (Mar 2003).
6. Ivanov, O., Wagner, M. M., Chapman, W. W., and Olszewski, R. T., "Accuracy of Three Classifiers of Acute Gastrointestinal Syndrome for Syndromic Surveillance," in Proc. Am. Med. Inform. Assoc. (AMIA) Symp., pp. 45-49 (9-13 Nov 2002).
7. Espino, J. U., and Wagner, M. M., "Accuracy of ICD-9-coded Chief Complaints and Diagnoses for the Detection of Acute Respiratory Illness," in Proc. Am. Med. Inform. Assoc. (AMIA) Symp., pp. 164-168 (9-13 Nov 2002).
8. Bravata, D. M., Vandana, S., McDonald, K. M., Smith, W. M., Szeto, H., et al., "Evaluating Detection and Diagnostic Decision Support Systems for Bioterrorism Response," Emerg. Infect. Dis. 10(1), 100-108 (Jan 2004).
9. Das, D., Weiss, D., Mostashari, F., Treadwell, T., McQuiston, J., et al., "Enhanced Drop-in Syndromic Surveillance in New York City Following September 11, 2001," J. Urban Health 80(2 Suppl 1), 76-88 (Jun 2003).
10. Real-time Outbreak and Disease Surveillance (RODS) Laboratory Weh site, http://www.health.pitt.edu/rods/sw/default.htm.
11. Olszewski, R. T., "Bayesian Classification of Triage Diagnoses for the Early Detection of Epidemics," in Recent Advances in Artificial Intelligence: Proc. 16th Int. FLAIRS Conf., pp. 412-416 (11-15 May 2003).