Cargando…

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

BACKGROUND: Clinical electronic medical records (EMRs) contain important information on patients’ anatomy, symptoms, examinations, diagnoses, and medications. Large-scale mining of rich medical information from EMRs will provide notable reference value for medical research. With the complexity of Ch...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Weijie, Li, Xiaoying, Ren, Huiling, Gao, Dongping, Fang, An
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2023
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209791/ https://www.ncbi.nlm.nih.gov/pubmed/37163343 http://dx.doi.org/10.2196/44597

Ejemplares similares

Multi-Label Classification in Patient-Doctor Dialogues With the RoBERTa-WWM-ext + CNN (Robustly Optimized Bidirectional Encoder Representations From Transformers Pretraining Approach With Whole Word Masking Extended Combining a Convolutional Neural Network) Model: Named Entity Study
por: Sun, Yuanyuan, et al.
Publicado: (2022)

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

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

Incorporating domain knowledge in chemical and biomedical named entity recognition with word representations
por: Munkhdalai, Tsendsuren, et al.
Publicado: (2015)

A Fine-Tuned Bidirectional Encoder Representations From Transformers Model for Food Named-Entity Recognition: Algorithm Development and Validation
por: Stojanov, Riste, et al.
Publicado: (2021)

Multisemantic Level Patch Merger Vision Transformer for Diagnosis of Pneumonia
por: Jiang, Zheng, et al.
Publicado: (2022)

Unsupervised cross-lingual model transfer for named entity recognition with contextualized word representations
por: Yan, Huijiong, et al.
Publicado: (2021)

A novel machine learning scheme for face mask detection using pretrained convolutional neural network
por: Saravanan, T.M., et al.
Publicado: (2022)

Document Network Projection in Pretrained Word Embedding Space
por: Gourru, Antoine, et al.
Publicado: (2020)

An Improved Math Word Problem (MWP) Model Using Unified Pretrained Language Model (UniLM) for Pretraining
por: Zhang, Dongqiu, et al.
Publicado: (2022)

Heuristic Attention Representation Learning for Self-Supervised Pretraining
por: Tran, Van Nhiem, et al.
Publicado: (2022)

Combined SVM-CRFs for Biological Named Entity Recognition with Maximal Bidirectional Squeezing
por: Zhu, Fei, et al.
Publicado: (2012)

Masked Syllable Priming Effects in Word and Picture Naming in Chinese
por: You, Wenping, et al.
Publicado: (2012)

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

Comparing general and specialized word embeddings for biomedical named entity recognition
por: Ramos-Vargas, Rigo E., et al.
Publicado: (2021)

Augmented-syllabification of n-gram tagger for Indonesian words and named-entities
por: Suyanto, Suyanto, et al.
Publicado: (2022)

Semi-Supervised Bidirectional Long Short-Term Memory and Conditional Random Fields Model for Named-Entity Recognition Using Embeddings from Language Models Representations
por: Zhang, Min, et al.
Publicado: (2020)

Pretrained Transformer Language Models Versus Pretrained Word Embeddings for the Detection of Accurate Health Information on Arabic Social Media: Comparative Study
por: Albalawi, Yahya, et al.
Publicado: (2022)

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

BCC-NER: bidirectional, contextual clues named entity tagger for gene/protein mention recognition
por: Murugesan, Gurusamy, et al.
Publicado: (2017)

Disease named entity recognition from biomedical literature using a novel convolutional neural network
por: Zhao, Zhehuan, et al.
Publicado: (2017)

3D Convolutional Neural Networks Initialized from Pretrained 2D Convolutional Neural Networks for Classification of Industrial Parts
por: Merino, Ibon, et al.
Publicado: (2021)

Exploring Representations for Singular and Multi-Concept Relations for Biomedical Named Entity Normalization
por: Cuffy, Clint, et al.
Publicado: (2022)

Knowledge Graph Completion for the Chinese Text of Cultural Relics Based on Bidirectional Encoder Representations from Transformers with Entity-Type Information
por: Zhang, Min, et al.
Publicado: (2020)

Regularized Denoising Masked Visual Pretraining for Robust Embodied PointGoal Navigation
por: Peng, Jie, et al.
Publicado: (2023)

To pretrain or not? A systematic analysis of the benefits of pretraining in diabetic retinopathy
por: Srinivasan, Vignesh, et al.
Publicado: (2022)

Active learning for ontological event extraction incorporating named entity recognition and unknown word handling
por: Han, Xu, et al.
Publicado: (2016)

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

Comparative Analysis on Alignment-Based and Pretrained Feature Representations for the Identification of DNA-Binding Proteins
por: Chen, Die, et al.
Publicado: (2022)

Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models
por: Alam, Minhaj Nur, et al.
Publicado: (2023)

Innovative Hybrid Approach for Masked Face Recognition Using Pretrained Mask Detection and Segmentation, Robust PCA, and KNN Classifier
por: Eman, Mohammed, et al.
Publicado: (2023)

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)

Medical Named Entity Extraction from Chinese Resident Admit Notes Using Character and Word Attention-Enhanced Neural Network
por: Gao, Yan, et al.
Publicado: (2020)

A comprehensive study on classification of COVID-19 on computed tomography with pretrained convolutional neural networks
por: Pham, Tuan D.
Publicado: (2020)

Light-Dermo: A Lightweight Pretrained Convolution Neural Network for the Diagnosis of Multiclass Skin Lesions
por: Baig, Abdul Rauf, et al.
Publicado: (2023)

SBLC: a hybrid model for disease named entity recognition based on semantic bidirectional LSTMs and conditional random fields
por: Xu, Kai, et al.
Publicado: (2018)

Ensemble of Deep Masked Language Models for Effective Named Entity Recognition in Health and Life Science Corpora
por: Naderi, Nona, et al.
Publicado: (2021)

NERBio: using selected word conjunctions, term normalization, and global patterns to improve biomedical named entity recognition
por: Tsai, Richard Tzong-Han, et al.
Publicado: (2006)

Acute Lymphoblastic Leukemia Detection and Classification of Its Subtypes Using Pretrained Deep Convolutional Neural Networks
por: Shafique, Sarmad, et al.
Publicado: (2018)

Investigating the Use of Pretrained Convolutional Neural Network on Cross-Subject and Cross-Dataset EEG Emotion Recognition
por: Cimtay, Yucel, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_84qa0gl7rmlns19alaag28h34g