A Statistical Classifier to Support Diagnose Meningitis in Less Developed Areas of Brazil.
This paper describes the development of statistical classifiers to help diagnose meningococcal meningitis, i.e. the most sever, infectious and deadliest type of this disease. The goal is to find a mechanism able to determine whether a patient has this type of meningitis from a set of symptoms that c...
| Publicado en: | Journal of Medical Systems Vol. 41; no. 9; pp. 1 - 11 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Sep2017
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| Acceso en línea: | Ver este registro en EBSCOhost |