Clinical Decision Support System for Diabetes Based on Ontology Reasoning and TOPSIS Analysis
المؤلفون المشاركون
Bau, Cho-Tsan
Jiang, Hui Qin
Huang, Chung-Yi
Chen, Rung-Ching
المصدر
Journal of Healthcare Engineering
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-10-26
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Introduction.
Although a number of researchers have considered the positive potential of Clinical Decision Support System (CDSS), they did not consider that patients’ attitude which leads to active treatment strategies or HbA1c targets.
Materials and Methods.
We adopted the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD) published to propose an HbA1c target and antidiabetic medication recommendation system for patients.
Based on the antidiabetic medication profiles, which were presented by the American Association of Clinical Endocrinologists (AACE) and American College of Endocrinology (ACE), we use TOPSIS to calculate the ranking of antidiabetic medications.
Results.
The endocrinologist set up ten virtual patients’ medical data to evaluate a decision support system.
The system indicates that the CDSS performs well and is useful to 87%, and the recommendation system is suitable for outpatients.
The evaluation results of the antidiabetic medications show that the system has 85% satisfaction degree which can assist clinicians to manage T2DM while selecting antidiabetic medications.
Conclusions.
In addition to aiding doctors’ clinical diagnosis, the system not only can serve as a guide for specialty physicians but also can help nonspecialty doctors and young doctors with their drug prescriptions.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chen, Rung-Ching& Jiang, Hui Qin& Huang, Chung-Yi& Bau, Cho-Tsan. 2017. Clinical Decision Support System for Diabetes Based on Ontology Reasoning and TOPSIS Analysis. Journal of Healthcare Engineering،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1180974
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chen, Rung-Ching…[et al.]. Clinical Decision Support System for Diabetes Based on Ontology Reasoning and TOPSIS Analysis. Journal of Healthcare Engineering No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1180974
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chen, Rung-Ching& Jiang, Hui Qin& Huang, Chung-Yi& Bau, Cho-Tsan. Clinical Decision Support System for Diabetes Based on Ontology Reasoning and TOPSIS Analysis. Journal of Healthcare Engineering. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1180974
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1180974
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر