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...
| Published in: | Journal of Medical Systems Vol. 41; no. 9; pp. 1 - 11 |
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| Main Authors: | , , |
| Format: | research tables/charts Journal Article |
| Published: |
Springer Nature
Sep2017
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| Online Access: | View this record in EBSCOhost |