Retno Dina Ariyanti, S. Kusumadewi, I. V. Paputungan
{"title":"Beck Depression Inventory Test Assessment Using Fuzzy Inference System","authors":"Retno Dina Ariyanti, S. Kusumadewi, I. V. Paputungan","doi":"10.1109/ISMS.2010.12","DOIUrl":null,"url":null,"abstract":"In this paper, the fuzzy takagi-sugeno method, one of fuzzy inference system, is proposed to evaluate Beck Depression Inventory II Test (BDI II-Test). BDI II-Test is an assessment tool by healthcare professionals and researchers to diagnose someone’s depression level in the fields of psychology and psychiatry. In this case, all the depressed factors; emotional, cognitive, motivational, physical, and delusional; are compiled as fuzzy rules input variables. The sample test case has shown that the Fuzzy Inference System may help in diagnosing all the components resulted by BDI II Test, 21 questions to get membership values, to support the medical treatment decision","PeriodicalId":434315,"journal":{"name":"2010 International Conference on Intelligent Systems, Modelling and Simulation","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Intelligent Systems, Modelling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISMS.2010.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
In this paper, the fuzzy takagi-sugeno method, one of fuzzy inference system, is proposed to evaluate Beck Depression Inventory II Test (BDI II-Test). BDI II-Test is an assessment tool by healthcare professionals and researchers to diagnose someone’s depression level in the fields of psychology and psychiatry. In this case, all the depressed factors; emotional, cognitive, motivational, physical, and delusional; are compiled as fuzzy rules input variables. The sample test case has shown that the Fuzzy Inference System may help in diagnosing all the components resulted by BDI II Test, 21 questions to get membership values, to support the medical treatment decision