The Level of Asthma Diagnosing System by using Fuzzy Inference System
Methods: 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.
Results: 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.
Conclusion: This system is expected to help the medical expert or doctor in diagnosing the level of asthma.
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