A Network-Based Approach to Investigate the Pattern of Syndrome in Depression
المؤلفون المشاركون
Gao, Yibo
Chen, Lin
Deng, Qingqiong
Wang, Jialing
Yu, Miao
Guo, Rongjuan
Lu, Peng
Liu, Xi
Dai, Wen
Zhang, Yunling
Song, Jianglong
المصدر
Evidence-Based Complementary and Alternative Medicine
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-03-02
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
In Traditional Chinese Medicine theory, syndrome is essential to diagnose diseases and treat patients, and symptom is the foundation of syndrome differentiation.
Thus the combination and interaction between symptoms represent the pattern of syndrome at phenotypic level, which can be modeled and analyzed using complex network.
At first, we collected inquiry information of 364 depression patients from 2007 to 2009.
Next, we learned classification models for 7 syndromes in depression using naïve Bayes, Bayes network, support vector machine (SVM), and C4.5.
Among them, SVM achieves the highest accuracies larger than 0.9 except for Yin deficiency.
Besides, Bayes network outperforms naïve Bayes for all 7 syndromes.
Then key symptoms for each syndrome were selected using Fisher’s score.
Based on these key symptoms, symptom networks for 7 syndromes as well as a global network for depression were constructed through weighted mutual information.
Finally, we employed permutation test to discover dynamic symptom interactions, in order to investigate the difference between syndromes from the perspective of symptom network.
As a result, significant dynamic interactions were quite different for 7 syndromes.
Therefore, symptom networks could facilitate our understanding of the pattern of syndrome and further the improvement of syndrome differentiation in depression.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Song, Jianglong& Liu, Xi& Deng, Qingqiong& Dai, Wen& Gao, Yibo& Chen, Lin…[et al.]. 2015. A Network-Based Approach to Investigate the Pattern of Syndrome in Depression. Evidence-Based Complementary and Alternative Medicine،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1063583
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Song, Jianglong…[et al.]. A Network-Based Approach to Investigate the Pattern of Syndrome in Depression. Evidence-Based Complementary and Alternative Medicine No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1063583
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Song, Jianglong& Liu, Xi& Deng, Qingqiong& Dai, Wen& Gao, Yibo& Chen, Lin…[et al.]. A Network-Based Approach to Investigate the Pattern of Syndrome in Depression. Evidence-Based Complementary and Alternative Medicine. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1063583
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1063583
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