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:...

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Detalles Bibliográficos
Autores principales: Rafei, A, Pasha, E, Jamshidi Orak, R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences 2012
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3494236/
https://www.ncbi.nlm.nih.gov/pubmed/23304666

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3494236/
https://www.ncbi.nlm.nih.gov/pubmed/23304666

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