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The Study of Misclassification Probability in Discriminant Model of Pattern Identification for Stroke
المؤلفون المشاركون
المصدر
Evidence-Based Complementary and Alternative Medicine
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-03-10
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
Background.
Pattern identification (PI) is the basic system for diagnosis of patients in traditional Korean medicine (TKM).
The purpose of this study was to identify misclassification objects in discriminant model of PI for improving the classification accuracy of PI for stroke.
Methods.
The study included 3306 patients with stroke who were admitted to 15 TKM hospitals from June 2006 to December 2012.
We derive the four kinds of measure (D, R, S, and C score) based on the pattern of the profile graphs according to classification types.
The proposed measures are applied to the data to evaluate how well those detect misclassification objects.
Results.
In 10–20% of the filtered data, misclassification rate of C score was highest compared to those rates of other scores (42.60%, 41.15%, resp.).
In 30% of the filtered data, misclassification rate of R score was highest compared to those rates of other scores (40.32%).
And, in 40–90% of the filtered data, misclassification rate of D score was highest compared to those rates of other scores.
Additionally, we can derive the same result of C score from multiple regression model with two independent variables.
Conclusions.
The results of this study should assist the development of diagnostic standards in TKM.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ko, Mi Mi& Kim, Honggie. 2016. The Study of Misclassification Probability in Discriminant Model of Pattern Identification for Stroke. Evidence-Based Complementary and Alternative Medicine،Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1103939
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ko, Mi Mi& Kim, Honggie. The Study of Misclassification Probability in Discriminant Model of Pattern Identification for Stroke. Evidence-Based Complementary and Alternative Medicine No. 2016 (2016), pp.1-15.
https://search.emarefa.net/detail/BIM-1103939
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ko, Mi Mi& Kim, Honggie. The Study of Misclassification Probability in Discriminant Model of Pattern Identification for Stroke. Evidence-Based Complementary and Alternative Medicine. 2016. Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1103939
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1103939
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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