ARCHIVES
VOL. 9, ISSUE 1 (2024)
A fuzzy Logic–based model for gastroenteritis diagnosis in pediatrics
Authors
Kilakime Warikaramu-ere Bridget, Sese Tuperekiye Ebimobowei
Abstract
Preceding interference in the prevention of
gastroenteritis disease in pediatrics is necessary as this has the
possibilities of preventing prolonged treatment with unbearable financial
implication and in some cases which leads to death of patients, especially when
the patients sensitivity to treatment is low. Choosing the appropriate
preventive method is key in the analysis of gastroenteritis. The problems faced
by the system are inaccurate analysis due to errors like redundancies in the
data, imprecision. The study is therefore concern with the using of fuzzy
logic-based formulation mathematical model to predict the presence of
gastroenteritis in pediatrics and it degrees, using fuzzy logic with the
objectives of providing a scalable symptoms database to determine the degree of
the presence of gastroenteritis symptoms with respect to various stages and
then generate an analysis report which then determine the dosage of drugs to be
administered to the pediatrics for full recovery. The study is beneficial to the
health sector, the research communities with it’s scope to determine the degree
of gastroenteritis and produce accurate analytical report. The study helps to
improve medical analysis. The study is guided by rapid application methodology.
The study is limited to the use of symptoms. The expert system was designed
using Hypertext Programming Language a framework of Laravel with My structure
query language relational database on Apache Sever under Windows operating
system platform, and using Java Script, bootstrap and cascading style sheet to
archive the system design, at the end an analytical report was predicted to
determine the presence of the degree of gastroenteritis being at a mild,
moderate, severe and very severe degrees
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Pages:46-53
How to cite this article:
Kilakime Warikaramu-ere Bridget, Sese Tuperekiye Ebimobowei "A fuzzy Logic–based model for gastroenteritis diagnosis in pediatrics". International Journal of Advanced Scientific Research, Vol 9, Issue 1, 2024, Pages 46-53
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