Cargando…

A Novel Approach towards Medical Entity Recognition in Chinese Clinical Text

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 diff...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liang, Jun, Xian, Xuemei, He, Xiaojun, Xu, Meifang, Dai, Sheng, Xin, Jun'yi, Xu, Jie, Yu, Jian, Lei, Jianbo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2017
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5516712/ https://www.ncbi.nlm.nih.gov/pubmed/29065612 http://dx.doi.org/10.1155/2017/4898963

Ejemplares similares

Unsupervised Medical Entity Recognition and Linking in Chinese Online Medical Text
por: Xu, Jing, et al.
Publicado: (2018)

A Pattern-Based Method for Medical Entity Recognition From Chinese Diagnostic Imaging Text
por: Liang, Zihong, et al.
Publicado: (2019)

Entity recognition in Chinese clinical text using attention-based CNN-LSTM-CRF
por: Tang, Buzhou, et al.
Publicado: (2019)

Entity recognition from clinical texts via recurrent neural network
por: Liu, Zengjian, et al.
Publicado: (2017)

Impact of translation on named-entity recognition in radiology texts
por: Campos, Luís, et al.
Publicado: (2017)

Text normalization for named entity recognition in Vietnamese tweets
por: Nguyen, Vu H., et al.
Publicado: (2016)

Named Entity Recognition of Medical Text Based on the Deep Neural Network
por: Yang, Tianjiao, et al.
Publicado: (2022)

Retracted: Named Entity Recognition of Medical Text Based on the Deep Neural Network
por: Healthcare Engineering, Journal of
Publicado: (2023)

Multi-task learning for Chinese clinical named entity recognition with external knowledge
por: Cheng, Ming, et al.
Publicado: (2021)

A Multigranularity Text Driven Named Entity Recognition CGAN Model for Traditional Chinese Medicine Literatures
por: Ma, Yuekun, et al.
Publicado: (2022)

De-identifying Spanish medical texts - named entity recognition applied to radiology reports
por: Pérez-Díez, Irene, et al.
Publicado: (2021)

MLM-based typographical error correction of unstructured medical texts for named entity recognition
por: Lee, Eun Byul, et al.
Publicado: (2022)

Korean clinical entity recognition from diagnosis text using BERT
por: Kim, Young-Min, et al.
Publicado: (2020)

COVID-19 detection in radiological text reports integrating entity recognition
por: López-Úbeda, Pilar, et al.
Publicado: (2020)

A hybrid approach for named entity recognition in Chinese electronic medical record
por: Ji, Bin, et al.
Publicado: (2019)

Improving clinical named entity recognition in Chinese using the graphical and phonetic feature
por: Wang, Yifei, et al.
Publicado: (2019)

Chinese medical entity recognition based on the dual-branch TENER model
por: Peng, Hui, et al.
Publicado: (2023)

Towards reliable named entity recognition in the biomedical domain
por: Giorgi, John M, et al.
Publicado: (2020)

Recent advances in Swedish and Spanish medical entity recognition in clinical texts using deep neural approaches
por: Weegar, Rebecka, et al.
Publicado: (2019)

On Biomedical Named Entity Recognition: Experiments in Interlingual Transfer for Clinical and Social Media Texts
por: Miftahutdinov, Zulfat, et al.
Publicado: (2020)

Extraction of Traditional Chinese Medicine Entity: Design of a Novel Span-Level Named Entity Recognition Method With Distant Supervision
por: Jia, Qi, et al.
Publicado: (2021)

EduNER: a Chinese named entity recognition dataset for education research
por: Li, Xu, et al.
Publicado: (2023)

Phenonizer: A Fine-Grained Phenotypic Named Entity Recognizer for Chinese Clinical Texts
por: Zou, Qunsheng, et al.
Publicado: (2022)

S-NER: A Concise and Efficient Span-Based Model for Named Entity Recognition
por: Yu, Jie, et al.
Publicado: (2022)

MLNet: a multi-level multimodal named entity recognition architecture
por: Zhai, Hanming, et al.
Publicado: (2023)

Chinese Clinical Named Entity Recognition with ALBERT and MHA Mechanism
por: Li, Dongmei, et al.
Publicado: (2022)

Chemical named entity recognition in the texts of scientific publications using the naïve Bayes classifier approach
por: Tarasova, O. A., et al.
Publicado: (2022)

Constructing a Chinese electronic medical record corpus for named entity recognition on resident admit notes
por: Gao, Yan, et al.
Publicado: (2019)

An attention-based deep learning model for clinical named entity recognition of Chinese electronic medical records
por: Li, Luqi, et al.
Publicado: (2019)

Multi-Level Representation Learning for Chinese Medical Entity Recognition: Model Development and Validation
por: Zhang, Zhichang, et al.
Publicado: (2020)

Application of Entity-BERT model based on neuroscience and brain-like cognition in electronic medical record entity recognition
por: Lu, Weijia, et al.
Publicado: (2023)

PASCAL: a pseudo cascade learning framework for breast cancer treatment entity normalization in Chinese clinical text
por: An, Yang, et al.
Publicado: (2020)

Event Recognition Based on Deep Learning in Chinese Texts
por: Zhang, Yajun, et al.
Publicado: (2016)

GRAM-CNN: a deep learning approach with local context for named entity recognition in biomedical text
por: Zhu, Qile, et al.
Publicado: (2018)

NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature
por: Islamaj, Rezarta, et al.
Publicado: (2021)

Evaluation of a Concept Mapping Task Using Named Entity Recognition and Normalization in Unstructured Clinical Text
por: Trivedi, Sapna, et al.
Publicado: (2020)

A Review on Electronic Health Record Text-Mining for Biomedical Name Entity Recognition in Healthcare Domain
por: Ahmad, Pir Noman, et al.
Publicado: (2023)

Named entity recognition for Chinese based on global pointer and adversarial training
por: Li, Hongjun, et al.
Publicado: (2023)

Chemical named entity recognition in patents by domain knowledge and unsupervised feature learning
por: Zhang, Yaoyun, et al.
Publicado: (2016)

Lightweight Scene Text Recognition Based on Transformer
por: Luan, Xin, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_26q3amiif2ba8se8o2m3pvrk5p