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: R Jamshidi Orak, E Pasha, A Rafei
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:http://journals.tums.ac.ir/upload_files/pdf/_/22217.pdf

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