A decision support system for pediatric diagnosis

Precious Iheme, Nicholas Omoregbe, Sanjay Misra*, Foluso Ayeni, Davies Adeloye

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationInnovation and Interdisciplinary Solutions for Underserved Areas - 1st International Conference, InterSol 2017 and 6th Collogue National sur la Recherche en Informatique et ses Applications, CNRIA 2017, Proceedings
EditorsCheikh M. F. Kebe, Assane Gueye, Ababacar Ndiaye
PublisherSpringer-Verlag
Pages177-185
Number of pages9
ISBN (Electronic)9783319729657
ISBN (Print)9783319729640
DOIs
Publication statusPublished - 25 Jan 2018
Event1st International Conference on Innovation and Interdisciplinary Solutions for Underserved Areas, InterSol 2017 , and co-located with the 6th Collogue National sur la Recherche en Informatique et ses Applications, CNRIA 2017 - Dakar, Senegal
Duration: 11 Apr 201712 Apr 2017

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume204
ISSN (Print)1867-8211

Conference

Conference1st International Conference on Innovation and Interdisciplinary Solutions for Underserved Areas, InterSol 2017 , and co-located with the 6th Collogue National sur la Recherche en Informatique et ses Applications, CNRIA 2017
Country/TerritorySenegal
CityDakar
Period11/04/1712/04/17

Keywords

  • Child healthcare
  • Mobile technology
  • Naïve bayes
  • Pediatric disease

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