Research Article
A Decision Support System for Pediatric Diagnosis
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@INPROCEEDINGS{10.1007/978-3-319-72965-7_17, author={Precious Iheme and Nicholas Omoregbe and Sanjay Misra and Foluso Ayeni and Davies Adeloye}, title={A Decision Support System for Pediatric Diagnosis}, proceedings={Innovation and Interdisciplinary Solutions for Underserved Areas. First International Conference, InterSol 2017 and Sixth Collogue National sur la Recherche en Informatique et ses Applications, CNRIA 2017, Dakar, Senegal, April 11--12, 2017, Proceedings}, proceedings_a={INTERSOL \& CNRIA}, year={2018}, month={2}, keywords={Child healthcare Mobile technology Na\~{n}ve bayes Pediatric disease}, doi={10.1007/978-3-319-72965-7_17} }- Precious Iheme
Nicholas Omoregbe
Sanjay Misra
Foluso Ayeni
Davies Adeloye
Year: 2018
A Decision Support System for Pediatric Diagnosis
INTERSOL & CNRIA
Springer
DOI: 10.1007/978-3-319-72965-7_17
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.
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