![](/images/graphics-bg.png)
Effective Heart Disease Detection Based on Quantitative Computerized Traditional Chinese Medicine Using Representation Based Classifiers
المؤلفون المشاركون
Zhang, Bob
Shu, Ting
Tang, Yuan Yan
المصدر
Evidence-Based Complementary and Alternative Medicine
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-08-13
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
At present, heart disease is the number one cause of death worldwide.
Traditionally, heart disease is commonly detected using blood tests, electrocardiogram, cardiac computerized tomography scan, cardiac magnetic resonance imaging, and so on.
However, these traditional diagnostic methods are time consuming and/or invasive.
In this paper, we propose an effective noninvasive computerized method based on facial images to quantitatively detect heart disease.
Specifically, facial key block color features are extracted from facial images and analyzed using the Probabilistic Collaborative Representation Based Classifier.
The idea of facial key block color analysis is founded in Traditional Chinese Medicine.
A new dataset consisting of 581 heart disease and 581 healthy samples was experimented by the proposed method.
In order to optimize the Probabilistic Collaborative Representation Based Classifier, an analysis of its parameters was performed.
According to the experimental results, the proposed method obtains the highest accuracy compared with other classifiers and is proven to be effective at heart disease detection.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Shu, Ting& Zhang, Bob& Tang, Yuan Yan. 2017. Effective Heart Disease Detection Based on Quantitative Computerized Traditional Chinese Medicine Using Representation Based Classifiers. Evidence-Based Complementary and Alternative Medicine،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1154555
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Shu, Ting…[et al.]. Effective Heart Disease Detection Based on Quantitative Computerized Traditional Chinese Medicine Using Representation Based Classifiers. Evidence-Based Complementary and Alternative Medicine No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1154555
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Shu, Ting& Zhang, Bob& Tang, Yuan Yan. Effective Heart Disease Detection Based on Quantitative Computerized Traditional Chinese Medicine Using Representation Based Classifiers. Evidence-Based Complementary and Alternative Medicine. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1154555
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1154555
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
![](/images/ebook-kashef.png)
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
![](/images/kashef-image.png)