![](/images/graphics-bg.png)
Detection of Herb-Symptom Associations from Traditional Chinese Medicine Clinical Data
المؤلفون المشاركون
Liu, Baoyan
Peng, Yonghong
Li, Yu-Bing
Zhou, Xue-Zhong
Wang, Ying-Hui
Hu, Jing-Qing
Xue, Yan-Xing
Xu, Li-Li
Xie, Qi
Liu, Xiao-fang
Zhang, Runshun
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
2015-01-11
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Background.
Traditional Chinese medicine (TCM) is an individualized medicine by observing the symptoms and signs (symptoms in brief) of patients.
We aim to extract the meaningful herb-symptom relationships from large scale TCM clinical data.
Methods.
To investigate the correlations between symptoms and herbs held for patients, we use four clinical data sets collected from TCM outpatient clinical settings and calculate the similarities between patient pairs in terms of the herb constituents of their prescriptions and their manifesting symptoms by cosine measure.
To address the large-scale multiple testing problems for the detection of herb-symptom associations and the dependence between herbs involving similar efficacies, we propose a network-based correlation analysis (NetCorrA) method to detect the herb-symptom associations.
Results.
The results show that there are strong positive correlations between symptom similarity and herb similarity, which indicates that herb-symptom correspondence is a clinical principle adhered to by most TCM physicians.
Furthermore, the NetCorrA method obtains meaningful herb-symptom associations and performs better than the chi-square correlation method by filtering the false positive associations.
Conclusions.
Symptoms play significant roles for the prescriptions of herb treatment.
The herb-symptom correspondence principle indicates that clinical phenotypic targets (i.e., symptoms) of herbs exist and would be valuable for further investigations.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Yu-Bing& Zhou, Xue-Zhong& Zhang, Runshun& Wang, Ying-Hui& Peng, Yonghong& Hu, Jing-Qing…[et al.]. 2015. Detection of Herb-Symptom Associations from Traditional Chinese Medicine Clinical Data. Evidence-Based Complementary and Alternative Medicine،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1061298
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Yu-Bing…[et al.]. Detection of Herb-Symptom Associations from Traditional Chinese Medicine Clinical Data. Evidence-Based Complementary and Alternative Medicine No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1061298
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Yu-Bing& Zhou, Xue-Zhong& Zhang, Runshun& Wang, Ying-Hui& Peng, Yonghong& Hu, Jing-Qing…[et al.]. Detection of Herb-Symptom Associations from Traditional Chinese Medicine Clinical Data. Evidence-Based Complementary and Alternative Medicine. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1061298
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1061298
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)