A proposal for distinguishing between bacterial and viral meningitis using genetic programming and decision trees
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-018-03729-y.pdf
Reference98 articles.
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3. Bansal R, Gaur N et al (2016). Outlier detection: applications and techniques in data mining. In: 2016 6th international conference: cloud system and big data engineering (Confluence)
4. Bonadio WA (1992) The cerebrospinal fluid: physiologic aspects and alterations associated with bacterial meningitis. Pediatr Infect Dis J 11(6):423–431
5. Bonsu BK, Harper MH (2004) Differentiating acute bacterial meningitis from acute viral meningitis among children with cerebrospinal fluid pleocytosis: a multivariable regression model. Pediatr Infect Dis J 23(6):7
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