A Joint Neuro-fuzzy Malaria Diagnosis System
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
Journal of Physics: Conference Series
Abstract
Diagnosis takes a definitive role in the course of determining about clarifying
patients as either having or not having the disorder. This method is relatively sluggish and
tedious. Various fact-finding and data-mining methods are part of the approach of this article.
In the development of the Collaborative Neuro-Fuzzy Expert System diagnosis platform,
Neural Networks and Fuzzy Logic, which are artificial intelligence methods, have been merged
together. Oral interviews were conducted with medical professionals whose experience was
caught in the Expertise Developed Fuzzy Proficient Scheme. With Microsoft Visual C # (C
Sharp) Programming Language and Microsoft SQL (Structured Query Language) Server 2012
to handle the database, the Neuro-Fuzzy Expert Framework diagnostic software was
introduced. To capture the predominant signs, questionnaires were administered to the patients
and filled out by the doctors on behalf of the patients.