Open AccessCertainty Factor for Early Detection of Children’s Respiratory Disease
Author(s) -
H. Suherman Saleh,
Edy Rahman Syahputra,
Arie Rafika Dewi,
Tantri Hidayati Sinaga,
Yulia Agustina Dalimunthe
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1361/1/012071
Subject(s) - certainty , disease , medicine , value (mathematics) , computer science , mathematics , machine learning , pathology , geometry
The immune system of children are weaker than adults. They are susceptible to diseases. One of the diseases that often affects them is respiratory disease. Expert systems can be used to determine early diagnosis of it. Certainty Factor allows the user to measure the certainty’s degree of the diagnosis. It is also affecting the level of trust. It is easy for users to make decisions in determining the healing step. Symptoms of the disease are analysed and managed into the knowledge base of the expert system. The result of disease diagnosis is appeared in the form of disease data. The result data are accompanied by certainty value or percentage of confidence that obtained by certainty factor method applied.