A Decision Support System for Pediatric Diagnosis

  • Precious Iheme
  • Nicholas Omoregbe
  • Sanjay MisraEmail author
  • Foluso Ayeni
  • Davies Adeloye
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 204)


Newborns are fragile and have a high risk of dying within the first 28 days of their life, therefore they require quality care from conception. This research aims at implementing a mobile pediatric diagnostic system for the rural settlers in Nigeria, reducing childhood mortality and providing an alternative pediatric professional. 581 records classified with naïve Bayes and decision-stump-tree classifier gave a higher accuracy level for naïve Bayes. A decision-support system is developed to aid health workers in rural areas in providing quality health service for children below six, which will provide low-cost medical service and contribute to reducing childhood mortality.


Child healthcare Mobile technology Naïve bayes Pediatric disease 



We acknowledge the support and sponsorship provided by Covenant University through the Centre for Research, Innovation and Discovery (CUCRID).


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Precious Iheme
    • 1
  • Nicholas Omoregbe
    • 1
  • Sanjay Misra
    • 1
    Email author
  • Foluso Ayeni
    • 1
  • Davies Adeloye
    • 1
  1. 1.Covenant UniversityOtaNigeria

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