Tuberculosis Surveillance Using a Hidden Markov Model.
Background: Routinely collected data from tuberculosis surveillance system can be used to investigate and monitor the irregularities and abrupt changes of the disease incidence. We aimed at using a Hidden Markov Model in order to detect the abnormal states of pulmonary tuberculosis in Iran. Methods:...
| Publicado en: | Iranian Journal of Public Health Vol. 41; no. 10; pp. 87 - 97 |
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| Autores principales: | , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Tehran University of Medical Sciences
2012
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| Acceso en línea: | Ver este registro en EBSCOhost |