Developing an application ontology for mining free text clinical reports: The extended syndromic surveillance ontology

CEUR Workshop Proceedings

Volumn 744, Issue , 2010, Pages 75-82

  Conway, Mike ^a   Dowling, John ^b   Chapman, Wendy ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

Biosurveillance; Natural language processing; Ontology; Syndromic surveillance; Terminology

Indexed keywords

BIOSURVEILLANCE; DISEASE OUTBREAKS; INFECTIOUS DISEASE OUTBREAKS; INTERNATIONAL TRANSPORT; NATURAL LANGUAGE PROCESSING; REGULAR EXPRESSIONS; REUSABLE RESOURCES; SYNDROMIC SURVEILLANCE;

COMPUTER SOFTWARE REUSABILITY; DATA MINING; NATURAL LANGUAGE PROCESSING SYSTEMS; OBJECT ORIENTED PROGRAMMING; ONTOLOGY; PATTERN MATCHING; TERMINOLOGY;

MONITORING;

EID: 84890875100     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Henning, K.: What is Syndromic Surveillance? MMWR Morb Mortal Wkly Rep 53 Suppl, 5-11 (2004).
2. Wagner, M., Gresham, L., Dato, V.: Case Detection, Outbreak Detection, and Outbreak Characterization. In: Wagner, M., Moore, A., Aryel, R. (eds.) Handbook of Biosurveillance, pp. 27-50. Elsevier Academic Press (2006).
3. Tsui, F., Espino, J., Dato, V., Gesteland, P., Hutman, J., Wagner, M.: Technical Description of RODS: A Real-time Public Health Surveillance System. J Am Med Inform Assoc 10(5), 399-408 (2003).
4. Lombardo, J., Burkom, H., Elbert, E., Magruder, S., Lewis, S.H., Loschen, W., Sari, J., Sniegoski, C., Wojcik, R., Pavlin, J.: A Systems Overview of the Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE II). J Urban Health 80(2 Suppl 1), 32-42 (2003).
5. Cooper, D.: Case Study: Use of Tele-health Data for Syndromic Surveillance in England and Wales. In: Lombardo, J., Buckeridge, D. (eds.) Disease Surveillance: A Public Health Informatics Approach pp. 335-365. Wiley, New York (2007).
6. Eysenbach, G.: Infodemiology: Tracking Flu-Related Searches on the Web for Syndromic Surveillance. In: American Medical Informatics Association Annual Symposium Proceedings (AMIA 2006). pp. 244-248 (2006).
7. Centers for Disease Control: Recognition of Illness Associated with the Intentional Release of a Biologic Agent. MMWR Morb Mortal Wkly Rep 50(41), 893-7 (2001).
8. Kuehnert, M.J., Doyle, T.J., Hill, H.A., Bridges, C.B., Jernigan, J.A., Dull, P.M., Reissman, D.B., Ashford, D.A., Jernigan, D.B.: Clinical Features that Discriminate Inhalation Anthrax from Other Acute Respiratory Illnesses. Clin Infect Dis 36(3), 328-36 (2003).
9. Conway, M., Dowling, J., Tsui, R., Chapman, W.: Developing an Application Ontology for Mining Clinical Reports: The Extended Syndromic Surveillance Ontology. In: International Society for Disease Surveillance. Abstract (2010).
10. Okhmatovskaia, A., Chapman, W., Collier, N., Espino, J., Buckeridge, D.: SSO: The Syndromic Surveillance Ontology. In: Proceedings of the International Society for Disease Surveillance (2009).
11. Doyle, T., Ma, H., Groseclose, S., Hopkins, R.: PHSkb: A Knowledgebase to Support Notifiable Disease Surveillance. BMC Med Inform Decis Mak 5, 27 (2005).
12. Chapman, W., Dowling, J., Baer, A., Buckeridge, D., Cochrane, D., Conway, M., Elkin, P., Espino, J., Gunn, J., Hales, C., Hutwagner, L., Keller, M., Larson, C., Noe, R., Okhmoatovskaia, A., Olson, K., Paladini, M., Scholer, M., Sniegoski, C., Thompson, D., Lober, B.: Developing Syndrome Definitions Based on Consensus and Current Use. Journal of the American Medical Informatics Association 17, 595-601 (2010).
13. Conway, M., Dowling, J., Chapman, W.: Developing a Biosurveillance Application Ontology for Influenza-Like-Illness. In: Proceedings of the 6th Workshop on Ontologies and Lexical Resources. pp. 58-66. Coling 2010 Organizing Committee, Beijing, China (2010).
14. Collier, N., Matsuda Goodwin, R., McCrae, J., Doan, S., Kawazoe, A., Conway, M., Kawtrakul, A., Takeuchi, K., Dien, D.: An Ontology-Driven System for Detecting Global Health Events. In: Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010). pp. 215-222. Coling 2010 Organizing Committee, Beijing, China (2010).
15. Zhu, X., Fan, J.W., Baorto, D., Weng, C., Cimino, J.: A Review of Auditing Methods Applied to the Content of Controlled Biomedical Terminologies. Journal of Biomedical Informatics 42(3), 413 - 425 (2009).
16. Brank, J., Grobelnik, M., Mladenic, D.: A Survey of Ontology Evaluation Techniques. In: Proceedings of the Conference on Data Mining and Data Warehouses (SiKDD 2005). pp. 166-170 (2005).
17. Grigonyte, G., Brochhausen, M., Martin, L., Tsiknakis, M., Haller, J.: Evaluating Ontologies with NLP-Based Terminologies - A Case Study on ACGT and its Master Ontology. In: Formal Ontology in Information Systems: Proceedings of the Sixth International Conference (FOIS 2010). pp. 331-344 (2010).
18. Frantzi, K., Ananiadou, S., Mima, H.: Automatic Recognition for Multi-word Terms. International Journal of Digital Libraries 3(2), 117-132 (2000).