Clinical Named Entity Recognition from Chinese Electronic Medical Records Based on Deep Learning Pretraining
المؤلفون المشاركون
Zhang, Zhifei
Chen, Shiqi
Gong, Lejun
المصدر
Journal of Healthcare Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-11-24
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Background.
Clinical named entity recognition is the basic task of mining electronic medical records text, which are with some challenges containing the language features of Chinese electronic medical records text with many compound entities, serious missing sentence components, and unclear entity boundary.
Moreover, the corpus of Chinese electronic medical records is difficult to obtain.
Methods.
Aiming at these characteristics of Chinese electronic medical records, this study proposed a Chinese clinical entity recognition model based on deep learning pretraining.
The model used word embedding from domain corpus and fine-tuning of entity recognition model pretrained by relevant corpus.
Then BiLSTM and Transformer are, respectively, used as feature extractors to identify four types of clinical entities including diseases, symptoms, drugs, and operations from the text of Chinese electronic medical records.
Results.
75.06% Macro-P, 76.40% Macro-R, and 75.72% Macro-F1 aiming at test dataset could be achieved.
These experiments show that the Chinese clinical entity recognition model based on deep learning pretraining can effectively improve the recognition effect.
Conclusions.
These experiments show that the proposed Chinese clinical entity recognition model based on deep learning pretraining can effectively improve the recognition performance.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Gong, Lejun& Zhang, Zhifei& Chen, Shiqi. 2020. Clinical Named Entity Recognition from Chinese Electronic Medical Records Based on Deep Learning Pretraining. Journal of Healthcare Engineering،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1186481
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Gong, Lejun…[et al.]. Clinical Named Entity Recognition from Chinese Electronic Medical Records Based on Deep Learning Pretraining. Journal of Healthcare Engineering No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1186481
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Gong, Lejun& Zhang, Zhifei& Chen, Shiqi. Clinical Named Entity Recognition from Chinese Electronic Medical Records Based on Deep Learning Pretraining. Journal of Healthcare Engineering. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1186481
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1186481
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