| Autor: |
Ayo, Femi Emmanuel, Ogundokun, Roseline Oluwaseun, Awotunde, Joseph Bamidele, Adebiyi, Marion Olubunmi, Adeniyi, Abidemi Emmanuel |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Computational Science and Its Applications – ICCSA 2020 |
| Popis: |
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 ailment 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 ambiguity. 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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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