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Human Facial Disease Diagnosis System Using Dempster Shafer Method
Author(s) -
Ahmad Tri Hidayat,
Suhirman Suhirman,
Kais Ismail Ibraheem
Publication year - 2019
Publication title -
international journal of engineering, technology and natural sciences/international journal of engineering technology and natural sciences
Language(s) - English
Resource type - Journals
eISSN - 2775-7706
pISSN - 2685-3191
DOI - 10.46923/ijets.v1i1.5
Subject(s) - disease , dempster–shafer theory , computer science , medicine , artificial intelligence , pathology
Skin is a very important and sensitive part of the human body. It is directly related to the outside world. In everyday life, the skin plays an important role. One of its functions is to remove waste substances. The lack of knowledge and limited sources of information causes low public awareness of skin health as well as not seeing a doctor. Regular skin checks can overcome the beginning of skin diseases that might trigger other more dangerous diseases. The system in this study is designed to detect and to know the symptoms of facial skin diseases that are felt. This knowledge-based system design was developed to diagnose human facial skin disease using the dempster shafer method. The results can help detecting earlier facial skin diseases and overcoming them. Key words : diagnosis system, facial skin disease, dempster-shafer

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