Evaluation of Stream Mining Classifiers for Real-Time Clinical Decision Support System: A Case Study of Blood Glucose Prediction in Diabetes Therapy
المؤلفون المشاركون
Zhang, Yang
Mohammed, Osama
Mohammed, Sabah
Fiaidhi, Jinan
Fong, Simon
المصدر
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-09-19
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
Earlier on, a conceptual design on the real-time clinical decision support system (rt-CDSS) with data stream mining was proposed and published.
The new system is introduced that can analyze medical data streams and can make real-time prediction.
This system is based on a stream mining algorithm called VFDT.
The VFDT is extended with the capability of using pointers to allow the decision tree to remember the mapping relationship between leaf nodes and the history records.
In this paper, which is a sequel to the rt-CDSS design, several popular machine learning algorithms are investigated for their suitability to be a candidate in the implementation of classifier at the rt-CDSS.
A classifier essentially needs to accurately map the events inputted to the system into one of the several predefined classes of assessments, such that the rt-CDSS can follow up with the prescribed remedies being recommended to the clinicians.
For a real-time system like rt-CDSS, the major technological challenges lie in the capability of the classifier to process, analyze and classify the dynamic input data, quickly and upmost reliably.
An experimental comparison is conducted.
This paper contributes to the insight of choosing and embedding a stream mining classifier into rt-CDSS with a case study of diabetes therapy.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Fong, Simon& Zhang, Yang& Fiaidhi, Jinan& Mohammed, Osama& Mohammed, Sabah. 2013. Evaluation of Stream Mining Classifiers for Real-Time Clinical Decision Support System: A Case Study of Blood Glucose Prediction in Diabetes Therapy. BioMed Research International،Vol. 2013, no. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-1030270
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Fong, Simon…[et al.]. Evaluation of Stream Mining Classifiers for Real-Time Clinical Decision Support System: A Case Study of Blood Glucose Prediction in Diabetes Therapy. BioMed Research International No. 2013 (2013), pp.1-16.
https://search.emarefa.net/detail/BIM-1030270
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Fong, Simon& Zhang, Yang& Fiaidhi, Jinan& Mohammed, Osama& Mohammed, Sabah. Evaluation of Stream Mining Classifiers for Real-Time Clinical Decision Support System: A Case Study of Blood Glucose Prediction in Diabetes Therapy. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-1030270
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1030270
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