Severe Acne Skin Disease: A Fuzzy-Based Method for Diagnosis

Ayo, Femi Emmanuel and Ogundokun, Roseline Oluwaseun and Awotunde, Joseph B. and Adebiyi, Marion and Adeniyi, A. E. (2020) Severe Acne Skin Disease: A Fuzzy-Based Method for Diagnosis. International Conference on Computational Science and Its Applications, 12254. pp. 320-334. ISSN 0302-9743

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Abstract

Dermis ailments are disorders that hurt or damage the dermis that has an enormous impact on the everyday life of a person. People’s tight schedule has significantly impacted their accessibility for repetitive examinations, thereby preventing individuals from consulting a medical practitioner. Network-centered medicinal schemes’ popularity is increasingly becoming a model for helping individuals recognize how crucial the level of an ailment is. Acne dermis ail�ment is one of the extremely well-known dermis sicknesses that troubles the sebaceous glands, thus repetitive diagnosis could assist to avoid blisters. Fuzzy based approach for diagnosing acne skin disease was proposed in this paper. It was suggested that the approach assisted solving the shortcomings of previous expert system methods. Expert machine reasoning is related to literary ambi�guity. The proposed system of used fuzzy rules to address inaccuracy in the expert system’s analysis. It was proven that the scheme was 82% accurate, indicating good performance. The Fuzzy expert system built had shown an extreme level of guidance, medical care recommendations and demonstrated the degree of seriousness of acne dermis state in patients.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Depositing User:	Mr Uchechukwu F. Ekpendu
Date Deposited:	02 Jul 2021 10:53
Last Modified:	02 Jul 2021 10:53
URI:	https://eprints.lmu.edu.ng/id/eprint/3164

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