Open AccessThe Level of Asthma Diagnosing System by using Fuzzy Inference System
Author(s) -
Kholida Hanum,
Subiyanto Subiyanto
Publication year - 2015
Publication title -
jurnal ners
Language(s) - English
Resource type - Journals
eISSN - 2502-5791
pISSN - 1858-3598
DOI - 10.20473/jn.v10i12015.80-86
Subject(s) - asthma , medicine , fuzzy inference system , expert system , intensive care medicine , pediatrics , fuzzy logic , fuzzy control system , artificial intelligence , adaptive neuro fuzzy inference system , computer science
This paper discuss about fuzzy inference system for the diagnosis of asthma’s levels. The process of diagnosis was made from symptoms that occur in patients with asthma. Input process, results, and methodology in making this system was done carefully, so this system is expected valid and fi t for medical diagnosis. Method: Methodology in the system including the knowledge base, fuzzyfi er, and inference engine. The symptoms used in diagnostic systems, including shortness of breath, wheezing, level of alertness/unique symptoms, respiratory rate, speech rate, pulse per minutes, and PEF after bronchodilator. And the output of asthma’s level diagnosis was mild, moderate, severe, and RAI/respiratory failure. The performance of system has been tested in Cilacap Pertamina Hospital, 20 patients with asthma were involved. The results of system and doctor’s opinion who has been treating patients with asthma were compared. Result: The result showed that the system obtained 90%, according to the doctor’s diagnosis. Discussion: This system is expected to help the medical expert or doctor in diagnosing the level of asthma. Keywords: Fuzzy inference system, diagnosis, level of asthma