A Novel Approach towards Medical Entity Recognition in Chinese Clinical Text
المؤلفون المشاركون
He, Xiaojun
Liang, Jun
Xian, Xuemei
Xu, Meifang
Dai, Sheng
Xin, Jun’yi
Xu, Jie
Yu, Jian
Lei, Jianbo
المصدر
Journal of Healthcare Engineering
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-07-05
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
Medical entity recognition, a basic task in the language processing of clinical data, has been extensively studied in analyzing admission notes in alphabetic languages such as English.
However, much less work has been done on nonstructural texts that are written in Chinese, or in the setting of differentiation of Chinese drug names between traditional Chinese medicine and Western medicine.
Here, we propose a novel cascade-type Chinese medication entity recognition approach that aims at integrating the sentence category classifier from a support vector machine and the conditional random field-based medication entity recognition.
We hypothesized that this approach could avoid the side effects of abundant negative samples and improve the performance of the named entity recognition from admission notes written in Chinese.
Therefore, we applied this approach to a test set of 324 Chinese-written admission notes with manual annotation by medical experts.
Our data demonstrated that this approach had a score of 94.2% in precision, 92.8% in recall, and 93.5% in F-measure for the recognition of traditional Chinese medicine drug names and 91.2% in precision, 92.6% in recall, and 91.7% F-measure for the recognition of Western medicine drug names.
The differences in F-measure were significant compared with those in the baseline systems.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liang, Jun& Dai, Sheng& Xin, Jun’yi& Xu, Jie& Yu, Jian& Lei, Jianbo…[et al.]. 2017. A Novel Approach towards Medical Entity Recognition in Chinese Clinical Text. Journal of Healthcare Engineering،Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1181009
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Dai, Sheng…[et al.]. A Novel Approach towards Medical Entity Recognition in Chinese Clinical Text. Journal of Healthcare Engineering No. 2017 (2017), pp.1-16.
https://search.emarefa.net/detail/BIM-1181009
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liang, Jun& Dai, Sheng& Xin, Jun’yi& Xu, Jie& Yu, Jian& Lei, Jianbo…[et al.]. A Novel Approach towards Medical Entity Recognition in Chinese Clinical Text. Journal of Healthcare Engineering. 2017. Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1181009
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1181009
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