Clinical Decision Support System for Diagnosis of Pneumonia in Children
Authors:
ADEKUNLE Yinka
Publication Type: Journal article
Journal:
ISSN Number:
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Abstract
This paper describes a proposed fuzzy based expert system for diagnosing Pneumonia, which is a number one killer diseases in the world but little attention is paid to it in the past. Given symptoms associated with this disease, the pediatrician can ascertain the level of severity of the disease. Our proposed system is very effective and efficient than all other existing diagnosis systems.