Cargando…

Entity recognition from clinical texts via recurrent neural network

BACKGROUND: Entity recognition is one of the most primary steps for text analysis and has long attracted considerable attention from researchers. In the clinical domain, various types of entities, such as clinical entities and protected health information (PHI), widely exist in clinical texts. Recog...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Zengjian, Yang, Ming, Wang, Xiaolong, Chen, Qingcai, Tang, Buzhou, Wang, Zhe, Xu, Hua
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2017
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5506598/ https://www.ncbi.nlm.nih.gov/pubmed/28699566 http://dx.doi.org/10.1186/s12911-017-0468-7

Ejemplares similares

Temporal indexing of medical entity in Chinese clinical notes
por: Liu, Zengjian, et al.
Publicado: (2019)

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

Evaluating Word Representation Features in Biomedical Named Entity Recognition Tasks
por: Tang, Buzhou, et al.
Publicado: (2014)

Chemical-induced disease extraction via recurrent piecewise convolutional neural networks
por: Li, Haodi, et al.
Publicado: (2018)

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

Drug-Drug Interaction Extraction via Convolutional Neural Networks
por: Liu, Shengyu, et al.
Publicado: (2016)

Feature Engineering for Drug Name Recognition in Biomedical Texts: Feature Conjunction and Feature Selection
por: Liu, Shengyu, et al.
Publicado: (2015)

CNN-based ranking for biomedical entity normalization
por: Li, Haodi, et al.
Publicado: (2017)

A hybrid method of recurrent neural network and graph neural network for next-period prescription prediction
por: Liu, Sicen, et al.
Publicado: (2020)

Document-level medical relation extraction via edge-oriented graph neural network based on document structure and external knowledge
por: Li, Tao, et al.
Publicado: (2021)

CapsTM: capsule network for Chinese medical text matching
por: Yu, Xiaoming, et al.
Publicado: (2021)

A fine-grained Chinese word segmentation and part-of-speech tagging corpus for clinical text
por: Xiong, Ying, et al.
Publicado: (2019)

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

Novel Graph-Based Model With Biaffine Attention for Family History Extraction From Clinical Text: Modeling Study
por: Zhan, Kecheng, et al.
Publicado: (2021)

A comparison of conditional random fields and structured support vector machines for chemical entity recognition in biomedical literature
por: Tang, Buzhou, et al.
Publicado: (2015)

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

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

Using Character-Level and Entity-Level Representations to Enhance Bidirectional Encoder Representation From Transformers-Based Clinical Semantic Textual Similarity Model: ClinicalSTS Modeling Study
por: Xiong, Ying, et al.
Publicado: (2020)

Family history information extraction via deep joint learning
por: Shi, Xue, et al.
Publicado: (2019)

HITSZ_CDR: an end-to-end chemical and disease relation extraction system for BioCreative V
por: Li, Haodi, et al.
Publicado: (2016)

Disease named entity recognition by combining conditional random fields and bidirectional recurrent neural networks
por: Wei, Qikang, et al.
Publicado: (2016)

Distributed representation and one-hot representation fusion with gated network for clinical semantic textual similarity
por: Xiong, Ying, 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)

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)

A Novel Approach towards Medical Entity Recognition in Chinese Clinical Text
por: Liang, Jun, et al.
Publicado: (2017)

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

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

Biomedical relation extraction via knowledge-enhanced reading comprehension
por: Chen, Jing, et al.
Publicado: (2022)

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

A neural network approach to chemical and gene/protein entity recognition in patents
por: Luo, Ling, et al.
Publicado: (2018)

Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features
por: Tang, Buzhou, et al.
Publicado: (2013)

Parsing clinical text: how good are the state-of-the-art parsers?
por: Jiang, Min, et al.
Publicado: (2015)

Ontology-Based Healthcare Named Entity Recognition from Twitter Messages Using a Recurrent Neural Network Approach
por: Batbaatar, Erdenebileg, et al.
Publicado: (2019)

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

Drug knowledge discovery via multi-task learning and pre-trained models
por: Li, Dongfang, et al.
Publicado: (2021)

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)

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

Scene Text Recognition Based on Bidirectional LSTM and Deep Neural Network
por: Kantipudi, MVV Prasad, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_lcs4962dqchejnkh6qcn4vegi1