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An Android Mobile Expert System for the Diagnosi of Pneumonia with Object-Oriented Methodology

Amanze B.C.1 , Asogwa D.C.2 , Chukwuneke C.I3

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-4 , Page no. 745-758, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i4.745758

Online published on Apr 30, 2019

Copyright © Amanze B.C., Asogwa D.C., Chukwuneke C.I . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Amanze B.C., Asogwa D.C., Chukwuneke C.I, “An Android Mobile Expert System for the Diagnosi of Pneumonia with Object-Oriented Methodology,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.745-758, 2019.

MLA Style Citation: Amanze B.C., Asogwa D.C., Chukwuneke C.I "An Android Mobile Expert System for the Diagnosi of Pneumonia with Object-Oriented Methodology." International Journal of Computer Sciences and Engineering 7.4 (2019): 745-758.

APA Style Citation: Amanze B.C., Asogwa D.C., Chukwuneke C.I, (2019). An Android Mobile Expert System for the Diagnosi of Pneumonia with Object-Oriented Methodology. International Journal of Computer Sciences and Engineering, 7(4), 745-758.

BibTex Style Citation:
@article{B.C._2019,
author = {Amanze B.C., Asogwa D.C., Chukwuneke C.I},
title = {An Android Mobile Expert System for the Diagnosi of Pneumonia with Object-Oriented Methodology},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {7},
Issue = {4},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {745-758},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4110},
doi = {https://doi.org/10.26438/ijcse/v7i4.745758}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i4.745758}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4110
TI - An Android Mobile Expert System for the Diagnosi of Pneumonia with Object-Oriented Methodology
T2 - International Journal of Computer Sciences and Engineering
AU - Amanze B.C., Asogwa D.C., Chukwuneke C.I
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 745-758
IS - 4
VL - 7
SN - 2347-2693
ER -

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Abstract

Pneumonia is an infection of the lungs that is caused by bacteria, viruses, fungi, or parasites and since the health of an individual is proportional to his or her productivity and life span. Therefore, a healthy population leads to a more productive country with a higher life expectancy rate. The aim of this paper is to develop an android mobile expert system for the diagnosis of pneumonia using Imo State University Teaching Hospital as a case study in order to improve the health condition of the people using android smart phone. In this paper we have developed a mobile expert system that can be used to diagnose pneumonia patients by taking various check-up either by patient or it’s assistance that can able to take his /her medical check-up by using medical peripherals and upload the report by its mobile phone to server where expert system could suggest precautionary steps or diagnosis along with patient status. We used PHP as a scripting programming language while MySQL was used as our database. To deal with this problem, a computerized system is needed. Methods used in analyzing and designing of the pneumonia problem is Object Oriented Analysis (OOA) with unified modeling language (UML)

Key-Words / Index Term

Mobile Phone, Expert System, OOADM, PHP/MySQL, symptoms, Unified Modeling Language

References

[1] Haskin, Haketo I.N. and Adewale, Arrow (2003). Automation and Easy Accessibility of Medical Services in Nigeria (ICT and Medicine).Nigerian Computer Society National Conference.Pp.175-180 (2009).
[2] Feigenbaum, E, A (1982) Knowledge Engineering in the 1980’s. Dept of Computer Science. Stand ford University, stand ford CA.
[3] Djam X.Y, Wajiga G.M., Kimbi Y.H and Blamah N.V. (2009). A Fuzzy Expert System for themanagement of malaria.An International Journal of Pure and Applied Sciences and Technology. (vol.8), 3 pp.84-108, 2011.
[4] Dedecker, Adeli and Neshat M. (2006). A Fuzzy Expert System for Heart Disease Diagnosis. Proceedings International Multi-conference of Engineering and Computer Scientists; 2010; p 134-139.
[5] Sofia (2013). Introduction to Artificial Intelligence and Expert Systems. Prentice Hall of India Private Limited; 1990.p 326-337.
[6] Webopedia, (2000). Ending of preventable deaths from pneumonia and diarrhea. The Lancet, 2013, (vol.3) 381:1499-506.
[7] Zhoa, Donfack kana A.F, Abdullahi M, Ezugou A.E and Alkali S.A. (2010) .Online System for Diagnosis and Treatment of Malaria. An International Journal for the Application of Wireless and Mobile Computing, 2010.www. abu, edu. ng/._/ 2009-06-22-125106.
[8] Sara M. H. F. Zarandi, M. Zolnoori, M. Moin and H.Heidarnejad (2009). A Fuzzy Rule-Based Expert System for Diagnosing Asthma. An International Journal of Science and Technology. Transaction on Industrial Engineering 2010, (vol.17), (2): 129-142.
[9] Lightstone, Liu L, Johnson H, Cousens S, Perin J, Scott S, Lawn J, Rudan I, Campbell H, Cibulskis R, Li M, Mathers C, and Black R. (2009) Global, regional, and national causes of child mortality database system. An updated systematic analysis for 2010 with time trends since.
[10] Gehani,Brent, Schuetz P.(2006) Antibiotics for non-pneumonic respiratory Tract infections. The Lancet Infectious Diseases, (vol.13:999)