Tuberculosis Surveillance Using a Hidden Markov Model

Tuberculosis Surveillance Using a Hidden Markov Model

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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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Bibliographic Details
Main Authors: A Rafei, E Pasha, R Jamshidi Orak
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2012-10-01
Series:Iranian Journal of Public Health
Subjects:
Sputum
Pulmonary tuberculosis
Hidden Markov model
Cyclic regression
EM-algorithm
Online Access:https://ijph.tums.ac.ir/index.php/ijph/article/view/2506

Internet

https://ijph.tums.ac.ir/index.php/ijph/article/view/2506

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