文章基本信息

标题：CLINICAL DECISION SUPPORT SYSTEM FOR DIAGNOSIS OF ACUTE RESPIRATORY TRACT INFECTIONS (ARI)
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作者：MUHAMMAD SYAUKANI ; SRI HARTATI ; HARI KUSNANTO 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2017
卷号：95
期号：11
出版社：Journal of Theoretical and Applied
摘要：Acute Respiratory Infection is the disease that sometimes happens to children that can lead mortality. In emergency room there are still some cases of Acute Respiratory Infection that cannot be handled quickly and appropriately, so there should be a model of clinical decision support system as an assisting tool of the doctors to diagnose Acute Respiratory Infection especially pneumonia on children and under-five years children. In clinical decision supporting system, decision maker should provide rating value of alternative working load toward the criteria; the value given is in the form of ordinal data. This paper offers problem solving of ordinal data on clinical decision support systems using Extended TOPSIS. The test used 30 samples of medical records from the hospitals by comparing between TOPSIS method and Extended TOPSIS. Based on test results, it states that Extended TOPSIS method can produce proper diagnostic decision alternatives according to the medical records with sensitivity value of 93%, specificity value of 96%, precision value of 93% and value accuracy of 95%.
关键词：Clinical Decision Support Systems; TOPSIS; Extended TOPSIS