An Expert System for Diagnosis of Sleep Disorder Using Fuzzy Rule-Based Classification Systems

International Conference on Information Technology and Digital Applications

计算机科学

Riza, Lala Septem^1 ; Pradini, Mila^1 ; Rahman, Eka Fitrajaya^1 ; Rasim^1

Department of Computer Science Education, Universitas Pendidikan, Indonesia^1

关键词: Computation time;    Fuzzifications;    Fuzzy rule based classification systems;    Fuzzy set concept;    Indonesia;    Rule base;    Sleep disorders;    West javas;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/185/1/012011/pdf
DOI  :  10.1088/1757-899X/185/1/012011

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Sleep disorder is an anomaly that could cause problems for someone' sleeping pattern. Nowadays, it becomes an issue since people are getting busy with their own business and have no time to visit the doctors. Therefore, this research aims to develop a system used for diagnosis of sleep disorder using Fuzzy Rule-Based Classification System (FRBCS). FRBCS is a method based on the fuzzy set concepts. It consists of two steps: (i) constructing a model/knowledge involving rulebase and database, and (ii) prediction over new data. In this case, the knowledge is obtained from experts whereas in the prediction stage, we perform fuzzification, inference, and classification. Then, a platform implementing the method is built with a combination between PHP and the R programming language using the "Shiny" package. To validate the system that has been made, some experiments have been done using data from a psychiatric hospital in West Java, Indonesia. Accuracy of the result and computation time are 84.85% and 0.0133 seconds, respectively.