Proceedings of the Annual Meeting of Biomedical Fuzzy Systems Association : BMFSA
Online ISSN : 2433-1449
会議情報
AUTOMATIZING SKIN ALLERGY TEST AND DIAGNOSIS USING FUZZY AND NEURAL NETWORKS
Y. M. ChaeSeung Kyu ChungMignon ParkIn Soo KimHyung Jin Kang
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会議録・要旨集 フリー

p. 153-159

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There are people acute to some material. This symptom is what we call allergy. Allergy is haunting in many people, and is severly bothersome. There are many sources to invoke allergy. The most prevailing way of allergy test is skin test. That is, a nurse drops test materials(more than 60 kinds) on the human back. And pricks thru the material. So the material permiates into the skin. In 15 minutes, a doctor checks the reaction area. During that 15 minutes, a patient fills out a questionaire. The questionaire consists of 147 items: 16 items about symptom, 121 items about patienthistory, and 10 items about skin test. A doctor diagnoses a patient based on this questionaire. But, there are many items on it, so it is difficult to give considerations onto the whole items. Besides, the reaction area has very ambiguous boundary, the doctor decides the area ad hoc. Surveying these environment, we decided to automatize the process of diagnosis on allergy. First, Automatize acquiring the reaction area. Take pictures using CCD camera and Processing the image using computer. Second, Expert systemize the surveying of the questionaire. Using neural networks, automatizing the process from questionaire to diagnosis on allergy.
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© 1992 Biomedical Fuzzy Systems Association
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