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:...
Gorde:
| Egile Nagusiak: | , , |
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| Formatua: | Liburua |
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Tehran University of Medical Sciences,
2012-10-01T00:00:00Z.
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A1234.567 |
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