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A Bayesian classification model for discriminating common infectious diseases in Zhejiang province, China
To develop a classification model for accurately discriminating common infectious diseases in Zhejiang province, China. Symptoms and signs, abnormal lab test results, epidemiological features, as well as the incidence rates were treated as predictors, and were collected from the published literature...
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| Gepubliceerd in: | Medicine (Baltimore) |
|---|---|
| Hoofdauteurs: | , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Wolters Kluwer Health
2020
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7034623/ https://ncbi.nlm.nih.gov/pubmed/32080115 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/MD.0000000000019218 |
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