کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
517402 | 867450 | 2009 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Bayesian Information Fusion Networks for Biosurveillance Applications
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
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چکیده انگلیسی
This study introduces new information fusion algorithms to enhance disease surveillance systems with Bayesian decision support capabilities. A detection system was built and tested using chief complaints from emergency department visits, International Classification of Diseases Revision 9 (ICD-9) codes from records of outpatient visits to civilian and military facilities, and influenza surveillance data from health departments in the National Capital Region (NCR). Data anomalies were identified and distribution of time offsets between events in the multiple data streams were established. The Bayesian Network was built to fuse data from multiple sources and identify influenza-like epidemiologically relevant events. Results showed increased specificity compared with the alerts generated by temporal anomaly detection algorithms currently deployed by NCR health departments. Further research should be done to investigate correlations between data sources for efficient fusion of the collected data.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of the American Medical Informatics Association - Volume 16, Issue 6, NovemberâDecember 2009, Pages 855-863
Journal: Journal of the American Medical Informatics Association - Volume 16, Issue 6, NovemberâDecember 2009, Pages 855-863
نویسندگان
Zaruhi R. PhD, Howard S. PhD, Jacqueline S. PhD, Joseph S. MS,