![](/images/graphics-bg.png)
Discrimination between Alzheimer's Disease and Mild Cognitive Impairment Using SOM and PSO-SVM
المؤلفون المشاركون
Yang, Shih-Ting
Lee, Jiann-Der
Wang, Jiun-Jie
Huang, Chung-Hsien
Chang, Tzyh-Chyang
Hsu, Wen-Chuin
Wai, Yau-Yau
Li, Kuan-Yi
Chan, Hsiao-Lung
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-05-07
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
In this study, an MRI-based classification framework was proposed to distinguish the patients with AD and MCI from normal participants by using multiple features and different classifiers.
First, we extracted features (volume and shape) from MRI data by using a series of image processing steps.
Subsequently, we applied principal component analysis (PCA) to convert a set of features of possibly correlated variables into a smaller set of values of linearly uncorrelated variables, decreasing the dimensions of feature space.
Finally, we developed a novel data mining framework in combination with support vector machine (SVM) and particle swarm optimization (PSO) for the AD/MCI classification.
In order to compare the hybrid method with traditional classifier, two kinds of classifiers, that is, SVM and a self-organizing map (SOM), were trained for patient classification.
With the proposed framework, the classification accuracy is improved up to 82.35% and 77.78% in patients with AD and MCI.
The result achieved up to 94.12% and 88.89% in AD and MCI by combining the volumetric features and shape features and using PCA.
The present results suggest that novel multivariate methods of pattern matching reach a clinically relevant accuracy for the a priori prediction of the progression from MCI to AD.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yang, Shih-Ting& Lee, Jiann-Der& Chang, Tzyh-Chyang& Huang, Chung-Hsien& Wang, Jiun-Jie& Hsu, Wen-Chuin…[et al.]. 2013. Discrimination between Alzheimer's Disease and Mild Cognitive Impairment Using SOM and PSO-SVM. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-457676
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yang, Shih-Ting…[et al.]. Discrimination between Alzheimer's Disease and Mild Cognitive Impairment Using SOM and PSO-SVM. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-457676
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yang, Shih-Ting& Lee, Jiann-Der& Chang, Tzyh-Chyang& Huang, Chung-Hsien& Wang, Jiun-Jie& Hsu, Wen-Chuin…[et al.]. Discrimination between Alzheimer's Disease and Mild Cognitive Impairment Using SOM and PSO-SVM. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-457676
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-457676
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)