The Level of Asthma Diagnosing System by using Fuzzy Inference System
Vol. 10 No. 1 (2015): April 2015
Original Article
April 1, 2015
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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.
Hanum, K., & Subiyanto, S. (2015). The Level of Asthma Diagnosing System by using Fuzzy Inference System. Jurnal Ners, 10(1), 80–86. https://doi.org/10.20473/jn.v10i1.1879
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Departemen Kesehatan R.I. 2009. Pedoman pengendalian penyakit asma. Jakarta: Departemen Kesehatan Republik
Indonesia.
Eder, Waltroud, Markus J. Ege, Erika M. 2006. The asthma epidemic. N Engl J Med 355; 21.
F. Steimann, Fuzzy set theory in Medicine, Artifi cial Intelligence in Medicine 11 (1997) 1–7.
F.Steimann, K.-P. Adlassnig, Fuzzy Medical Diagnosis, 2000.
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