A decision support system for pediatric diagnosis

Precious Iheme; Nicholas Omoregbe; Sanjay Misra; Foluso Ayeni; Davies Adeloye

doi:10.1007/978-3-319-72965-7_17

A decision support system for pediatric diagnosis

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

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Innovation and Interdisciplinary Solutions for Underserved Areas
Subtitle of host publication	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
Editors	Cheikh M. F. Kebe, Assane Gueye, Ababacar Ndiaye
Publisher	Springer, Cham.
Pages	177-185
ISBN (Electronic)	9783319729657
ISBN (Print)	9783319729640
DOIs	https://doi.org/10.1007/978-3-319-72965-7_17
Publication status	Published - 25 Jan 2018
Externally published	Yes
Event	First International Conference on Innovation and Interdisciplinary Solutions for Underserved Areas - Ecole Supérieure Polytechnique, Dakar, Senegal Duration: 11 Apr 2017 → 12 Apr 2017

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

Conference

Conference	First International Conference on Innovation and Interdisciplinary Solutions for Underserved Areas
Abbreviated title	CNRIA 2017
Country/Territory	Senegal
City	Dakar
Period	11/04/17 → 12/04/17

Access to Document

10.1007/978-3-319-72965-7_17Licence: Unspecified

Cite this

Iheme, P., Omoregbe, N., Misra, S., Ayeni, F., & Adeloye, D. (2018). A decision support system for pediatric diagnosis. In C. M. F. Kebe, A. Gueye, & A. Ndiaye (Eds.), 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 (pp. 177-185). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). Springer, Cham.. https://doi.org/10.1007/978-3-319-72965-7_17

Iheme, Precious ; Omoregbe, Nicholas ; Misra, Sanjay et al. / A decision support system for pediatric diagnosis. 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. editor / Cheikh M. F. Kebe ; Assane Gueye ; Ababacar Ndiaye. Springer, Cham., 2018. pp. 177-185 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

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title = "A decision support system for pediatric diagnosis",

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 na{\"i}ve Bayes and decision-stump-tree classifier gave a higher accuracy level for na{\"i}ve 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.",

author = "Precious Iheme and Nicholas Omoregbe and Sanjay Misra and Foluso Ayeni and Davies Adeloye",

year = "2018",

month = jan,

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doi = "10.1007/978-3-319-72965-7_17",

language = "English",

isbn = "9783319729640",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

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editor = "Kebe, {Cheikh M. F.} and Gueye, {Assane } and Ndiaye, {Ababacar }",

booktitle = "Innovation and Interdisciplinary Solutions for Underserved Areas",

note = "First International Conference on Innovation and Interdisciplinary Solutions for Underserved Areas, CNRIA 2017 ; Conference date: 11-04-2017 Through 12-04-2017",

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Iheme, P, Omoregbe, N, Misra, S, Ayeni, F & Adeloye, D 2018, A decision support system for pediatric diagnosis. in CMF Kebe, A Gueye & A Ndiaye (eds), 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. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Springer, Cham., pp. 177-185, First International Conference on Innovation and Interdisciplinary Solutions for Underserved Areas, Dakar, Senegal, 11/04/17. https://doi.org/10.1007/978-3-319-72965-7_17

A decision support system for pediatric diagnosis. / Iheme, Precious; Omoregbe, Nicholas; Misra, Sanjay et al.
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. ed. / Cheikh M. F. Kebe; Assane Gueye; Ababacar Ndiaye. Springer, Cham., 2018. p. 177-185 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - 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.

AB - 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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Iheme P, Omoregbe N, Misra S, Ayeni F, Adeloye D. A decision support system for pediatric diagnosis. In Kebe CMF, Gueye A, Ndiaye A, editors, 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. Springer, Cham. 2018. p. 177-185. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-319-72965-7_17

A decision support system for pediatric diagnosis

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