Cargando…

Clinical Named Entity Recognition from Chinese Electronic Medical Records Based on Deep Learning Pretraining

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 b...

Descripción completa

Detalles Bibliográficos
Autores principales:	Gong, Lejun, Zhang, Zhifei, Chen, Shiqi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7707942/ https://www.ncbi.nlm.nih.gov/pubmed/33299537 http://dx.doi.org/10.1155/2020/8829219

Ejemplares similares

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

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

Deep learning for named entity recognition on Chinese electronic medical records: Combining deep transfer learning with multitask bi-directional LSTM RNN
por: Dong, Xishuang, et al.
Publicado: (2019)

A deep learning model incorporating part of speech and self-matching attention for named entity recognition of Chinese electronic medical records
por: Cai, Xiaoling, et al.
Publicado: (2019)

Improving the Named Entity Recognition of Chinese Electronic Medical Records by Combining Domain Dictionary and Rules
por: Chen, Xianglong, et al.
Publicado: (2020)

Clinical Named Entity Recognition From Chinese Electronic Health Records via Machine Learning Methods
por: Zhang, Yu, et al.
Publicado: (2018)

A multitask bi-directional RNN model for named entity recognition on Chinese electronic medical records
por: Chowdhury, Shanta, et al.
Publicado: (2018)

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

An imConvNet-based deep learning model for Chinese medical named entity recognition
por: Zheng, Yuchen, et al.
Publicado: (2022)

Named entity recognition of Chinese electronic medical records based on a hybrid neural network and medical MC-BERT
por: Chen, Peng, et al.
Publicado: (2022)

Extracting clinical named entity for pituitary adenomas from Chinese electronic medical records
por: Fang, An, et al.
Publicado: (2022)

Named Entity Recognition in Electronic Health Records: A Methodological Review
por: Durango, María C., et al.
Publicado: (2023)

Chinese Clinical Named Entity Recognition From Electronic Medical Records Based on Multisemantic Features by Using Robustly Optimized Bidirectional Encoder Representation From Transformers Pretraining Approach Whole Word Masking and Convolutional Neural Networks: Model Development and Validation
por: Wang, Weijie, et al.
Publicado: (2023)

Deep learning with word embeddings improves biomedical named entity recognition
por: Habibi, Maryam, et al.
Publicado: (2017)

Deep learning-based methods for natural hazard named entity recognition
por: Sun, Junlin, et al.
Publicado: (2022)

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

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

Improving deep learning method for biomedical named entity recognition by using entity definition information
por: Xiong, Ying, et al.
Publicado: (2021)

Chinese Clinical Named Entity Recognition in Electronic Medical Records: Development of a Lattice Long Short-Term Memory Model With Contextualized Character Representations
por: Li, Yongbin, et al.
Publicado: (2020)

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

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

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

A hybrid deep learning framework for bacterial named entity recognition with domain features
por: Li, Xusheng, et al.
Publicado: (2019)

Deep learning with language models improves named entity recognition for PharmaCoNER
por: Sun, Cong, et al.
Publicado: (2021)

Research on named entity recognition of adverse drug reactions based on NLP and deep learning
por: Wei, Jianxiang, et al.
Publicado: (2023)

An active learning-enabled annotation system for clinical named entity recognition
por: Chen, Yukun, et al.
Publicado: (2017)

Transfer learning for biomedical named entity recognition with neural networks
por: Giorgi, John M, et al.
Publicado: (2018)

Hierarchical shared transfer learning for biomedical named entity recognition
por: Chai, Zhaoying, et al.
Publicado: (2022)

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

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

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)

CLART: A cascaded lattice-and-radical transformer network for Chinese medical named entity recognition
por: Xiao, Yinlong, et al.
Publicado: (2023)

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

DTranNER: biomedical named entity recognition with deep learning-based label-label transition model
por: Hong, S. K., et al.
Publicado: (2020)

MetaboListem and TABoLiSTM: Two Deep Learning Algorithms for Metabolite Named Entity Recognition
por: Yeung, Cheng S., et al.
Publicado: (2022)

Lexicon and attention-based named entity recognition for kiwifruit diseases and pests: A Deep learning approach
por: Zhang, Lilin, et al.
Publicado: (2022)

CollaboNet: collaboration of deep neural networks for biomedical named entity recognition
por: Yoon, Wonjin, et al.
Publicado: (2019)

Biomedical named entity recognition using deep neural networks with contextual information
por: Cho, Hyejin, et al.
Publicado: (2019)

Multitask learning for biomedical named entity recognition with cross-sharing structure
por: Wang, Xi, et al.
Publicado: (2019)

Monitoring named entity recognition: the League Table
por: Rebholz-Schuhmann, Dietrich, et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_hvrad13d1hre4k19efacj5atp6