Cargando…

Named entity recognition of Chinese electronic medical records based on a hybrid neural network and medical MC-BERT

BACKGROUND: Named entity recognition (NER) of electronic medical records is an important task in clinical medical research. Although deep learning combined with pretraining models performs well in recognizing entities in clinical texts, because Chinese electronic medical records have a special text...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Peng, Zhang, Meng, Yu, Xiaosheng, Li, Songpu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714133/ https://www.ncbi.nlm.nih.gov/pubmed/36457119 http://dx.doi.org/10.1186/s12911-022-02059-2

Ejemplares similares

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

A BERT-Span model for Chinese named entity recognition in rehabilitation medicine
por: Zhong, Jinhong, 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)

Using BERT and Augmentation in Named Entity Recognition for Cybersecurity Domain
por: Tikhomirov, Mikhail, et al.
Publicado: (2020)

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

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

Clinical Named Entity Recognition from Chinese Electronic Medical Records Based on Deep Learning Pretraining
por: Gong, Lejun, et al.
Publicado: (2020)

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

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

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

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)

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

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

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)

Named entity recognition on bio-medical literature documents using hybrid based approach
por: Ramachandran, R., et al.
Publicado: (2021)

Retracted: BERT-Based Clinical Name Entity Reorganization Model for Health Diagnosis
por: Markers, Disease
Publicado: (2023)

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)

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

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

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

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

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

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

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

Chemlistem: chemical named entity recognition using recurrent neural networks
por: Corbett, Peter, et al.
Publicado: (2018)

Chinese-Named Entity Recognition From Adverse Drug Event Records: Radical Embedding-Combined Dynamic Embedding–Based BERT in a Bidirectional Long Short-term Conditional Random Field (Bi-LSTM-CRF) Model
por: Wu, Hong, et al.
Publicado: (2021)

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

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)

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)

BERN2: an advanced neural biomedical named entity recognition and normalization tool
por: Sung, Mujeen, et al.
Publicado: (2022)

A BERT-Based Generation Model to Transform Medical Texts to SQL Queries for Electronic Medical Records: Model Development and Validation
por: Pan, Youcheng, et al.
Publicado: (2021)

Integration of natural and deep artificial cognitive models in medical images: BERT-based NER and relation extraction for electronic medical records
por: Guo, Bo, et al.
Publicado: (2023)

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

Named Entity Recognition in Prehospital Trauma Care
por: Silverman, Greg M., et al.
Publicado: (2019)

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

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

Cannot write session to /tmp/vufind_sessions/sess_s8qqockks1gl15gpc516qkgpcp