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Deep learning methods for biomedical named entity recognition: a survey and qualitative comparison

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s13042-015-0426-6openalex-snapshot

A comparative study for biomedical named entity recognition

inferredcites →https://doi.org/10.1016/b978-0-12-819061-6.00001-xopenalex-snapshot

Unified neural architecture for drug, disease, and clinical entity recognition

inferredcites →https://doi.org/10.1016/j.jbi.2004.08.005openalex-snapshot

Enhancing HMM-based biomedical named entity recognition by studying special phenomena

inferredcites →https://doi.org/10.1016/j.jbi.2013.07.011openalex-snapshot

The DDI corpus: An annotated corpus with pharmacological substances and drug–drug interactions

inferredcites →https://doi.org/10.1016/j.jbi.2013.12.006openalex-snapshot

NCBI disease corpus: A resource for disease name recognition and concept normalization

inferredcites →https://doi.org/10.1016/j.jbi.2017.05.002openalex-snapshot

Character-level neural network for biomedical named entity recognition

inferredcites →https://doi.org/10.1016/j.jbi.2017.11.007openalex-snapshot

Recurrent neural networks with specialized word embeddings for health-domain named-entity recognition

inferredcites →https://doi.org/10.1016/j.jbi.2020.103381openalex-snapshot

Combinatorial feature embedding based on CNN and LSTM for biomedical named entity recognition

inferredcites →https://doi.org/10.1016/j.molcel.2006.02.012openalex-snapshot

Biomedical Language Processing: What's Beyond PubMed?

inferredcites →https://doi.org/10.1023/a:1007379606734openalex-snapshot

Multitask Learning

inferredcites →https://doi.org/10.1038/gim.2013.121openalex-snapshot

Some experiences and opportunities for big data in translational research

inferredcites →https://doi.org/10.1038/nbt1005-1243openalex-snapshot

Emergent behavior of growing knowledge about molecular interactions

inferredcites →https://doi.org/10.1038/s41591-018-0272-7openalex-snapshot

Privacy in the age of medical big data

inferredcites →https://doi.org/10.1038/s41591-019-0727-5openalex-snapshot

Axes of a revolution: challenges and promises of big data in healthcare

inferredcites →https://doi.org/10.1073/pnas.98.2.381openalex-snapshot

PubMed Central: The GenBank of the published literature

inferredcites →https://doi.org/10.1093/bib/6.4.357openalex-snapshot

What makes a gene name? Named entity recognition in the biomedical literature

inferredcites →https://doi.org/10.1093/bib/bbaa054openalex-snapshot

Biomedical named entity recognition and linking datasets: survey and our recent development

inferredcites →https://doi.org/10.1093/bioinformatics/btaa111openalex-snapshot

DL4papers: a deep learning approach for the automatic interpretation of scientific articles

inferredcites →https://doi.org/10.1093/bioinformatics/btaa515openalex-snapshot

Dataset-aware multi-task learning approaches for biomedical named entity recognition

inferredcites →https://doi.org/10.1093/bioinformatics/btab042openalex-snapshot

HunFlair: an easy-to-use tool for state-of-the-art biomedical named entity recognition

inferredcites →https://doi.org/10.1093/bioinformatics/btg1023openalex-snapshot

GENIA corpus—a semantically annotated corpus for bio-textmining

inferredcites →https://doi.org/10.1093/bioinformatics/btl616openalex-snapshot

RelEx—Relation extraction using dependency parse trees

inferredcites →https://doi.org/10.1093/bioinformatics/btq002openalex-snapshot

Disambiguating the species of biomedical named entities using natural language parsers

inferredcites →https://doi.org/10.1093/bioinformatics/btv570openalex-snapshot

Cell line name recognition in support of the identification of synthetic lethality in cancer from text

inferredcites →https://doi.org/10.1093/bioinformatics/btw343openalex-snapshot

TaggerOne: joint named entity recognition and normalization with semi-Markov Models

inferredcites →https://doi.org/10.1093/bioinformatics/btx172openalex-snapshot

A transition-based joint model for disease named entity recognition and normalization

inferredcites →https://doi.org/10.1093/bioinformatics/btx228openalex-snapshot

Deep learning with word embeddings improves biomedical named entity recognition

inferredcites →https://doi.org/10.1093/bioinformatics/btx761openalex-snapshot

An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition

inferredcites →https://doi.org/10.1093/bioinformatics/btx815openalex-snapshot

GRAM-CNN: a deep learning approach with local context for named entity recognition in biomedical text

inferredcites →https://doi.org/10.1093/bioinformatics/bty356openalex-snapshot

D3NER: biomedical named entity recognition using CRF-biLSTM improved with fine-tuned embeddings of various linguistic information

inferredcites →https://doi.org/10.1093/bioinformatics/bty449openalex-snapshot

Transfer learning for biomedical named entity recognition with neural networks

inferredcites →https://doi.org/10.1093/bioinformatics/bty869openalex-snapshot

Cross-type biomedical named entity recognition with deep multi-task learning

inferredcites →https://doi.org/10.1093/bioinformatics/btz528openalex-snapshot

HUNER: improving biomedical NER with pretraining

inferredcites →https://doi.org/10.1093/bioinformatics/btz682openalex-snapshot

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

inferredcites →https://doi.org/10.1093/database/bat019openalex-snapshot

Annotating the biomedical literature for the human variome

inferredcites →https://doi.org/10.1093/nar/gki031openalex-snapshot

Entrez Gene: gene-centered information at NCBI

inferredcites →https://doi.org/10.1093/nar/gkm791openalex-snapshot

ChEBI: a database and ontology for chemical entities of biological interest

inferredcites →https://doi.org/10.1093/nar/gkq1237openalex-snapshot

Entrez Gene: gene-centered information at NCBI

inferredcites →https://doi.org/10.1093/nar/gkw937openalex-snapshot

The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible

inferredcites →https://doi.org/10.1109/bibm.2017.8217679openalex-snapshot

Biomedical named entity recognition based on the two channels and sentence-level reading control conditioned LSTM-CRF

inferredcites →https://doi.org/10.1109/bibm.2017.8217723openalex-snapshot

A deep network based integrated model for disease named entity recognition

inferredcites →https://doi.org/10.1109/bibm.2018.8621134openalex-snapshot

Using deep neural network to recognize mutation entities in biomedical literature

inferredcites →https://doi.org/10.1109/bibm.2018.8621206openalex-snapshot

Neural Networks for Bacterial Named Entity Recognition

inferredcites →https://doi.org/10.1109/bibm47256.2019.8982966openalex-snapshot

Recognizing Nested Named Entity in Biomedical Texts: A Neural Network Model with Multi-Task Learning

inferredcites →https://doi.org/10.1109/bibm47256.2019.8983133openalex-snapshot

Bacterial Named Entity Recognition Based on Language Model

inferredcites →https://doi.org/10.1109/bibm49941.2020.9313126openalex-snapshot

Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature

inferredcites →https://doi.org/10.1109/fskd.2018.8687117openalex-snapshot

Bidirectional LSTM-CRF for biomedical named entity recognition

inferredcites →https://doi.org/10.1109/ijcnn46175.2019openalex-snapshot

2019 International Joint Conference on Neural Networks (IJCNN)

inferredcites →https://doi.org/10.1109/itnec.2019.8729015openalex-snapshot

Recognizing Small-Sample Biomedical Named Entity Based on Contextual Domain Relevance

inferredcites →https://doi.org/10.1109/mci.2018.2840738openalex-snapshot

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

inferredcites →https://doi.org/10.1109/tkde.2009.191openalex-snapshot

A Survey on Transfer Learning

inferredcites →https://doi.org/10.1109/tkde.2020.2981314openalex-snapshot

A Survey on Deep Learning for Named Entity Recognition

inferredcites →https://doi.org/10.1111/j.1471-1842.2007.00734.xopenalex-snapshot

Five large Chinese biomedical bibliographic databases: accessibility and coverage

inferredcites →https://doi.org/10.1142/9789812799623_0031openalex-snapshot

MINING MEDLINE: ABSTRACTS, SENTENCES, OR PHRASES?

inferredcites →https://doi.org/10.1142/9789814447331_0049openalex-snapshot

EDGAR: Extraction of Drugs, Genes And Relations from the Biomedical Literature

inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot

Long Short-Term Memory

inferredcites →https://doi.org/10.1162/tacl_a_00051openalex-snapshot

Enriching Word Vectors with Subword Information

inferredcites →https://doi.org/10.1186/1471-2105-10-349openalex-snapshot

Construction of an annotated corpus to support biomedical information extraction

inferredcites →https://doi.org/10.1186/1471-2105-10-s10-s4openalex-snapshot

Reuse of terminological resources for efficient ontological engineering in Life Sciences

inferredcites →https://doi.org/10.1186/1471-2105-10-s8-s4openalex-snapshot

Annotation of protein residues based on a literature analysis: cross-validation against UniProtKb

inferredcites →https://doi.org/10.1186/1471-2105-11-85openalex-snapshot

LINNAEUS: A species name identification system for biomedical literature

inferredcites →https://doi.org/10.1186/1471-2105-12-s4-s4openalex-snapshot

Challenges in the association of human single nucleotide polymorphism mentions with unique database identifiers

inferredcites →https://doi.org/10.1186/1471-2105-12-s8-s4openalex-snapshot

BioCreative III interactive task: an overview

inferredcites →https://doi.org/10.1186/1471-2105-13-161openalex-snapshot

Concept annotation in the CRAFT corpus

inferredcites →https://doi.org/10.1186/1471-2105-13-s4-s14openalex-snapshot

Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms

inferredcites →https://doi.org/10.1186/1471-2105-6-1openalex-snapshot

A novel method for prokaryotic promoter prediction based on DNA stability

inferredcites →https://doi.org/10.1186/1471-2105-6-s1-s3openalex-snapshot

GENETAG: a tagged corpus for gene/protein named entity recognition

inferredcites →https://doi.org/10.1186/1471-2105-7-92openalex-snapshot

Various criteria in the evaluation of biomedical named entity recognition

inferredcites →https://doi.org/10.1186/1471-2105-8-50openalex-snapshot

BioInfer: a corpus for information extraction in the biomedical domain

inferredcites →https://doi.org/10.1186/1471-2105-9-84openalex-snapshot

OSIRISv1.2: A named entity recognition system for sequence variants of genes in biomedical literature

inferredcites →https://doi.org/10.1186/1758-2946-7-s1-s1openalex-snapshot

CHEMDNER: The drugs and chemical names extraction challenge

inferredcites →https://doi.org/10.1186/1758-2946-7-s1-s10openalex-snapshot

Recognition of chemical entities: combining dictionary-based and grammar-based approaches

inferredcites →https://doi.org/10.1186/1758-2946-7-s1-s2openalex-snapshot

The CHEMDNER corpus of chemicals and drugs and its annotation principles

inferredcites →https://doi.org/10.1186/gb-2008-9-s2-s2openalex-snapshot

Overview of BioCreative II gene mention recognition

inferredcites →https://doi.org/10.1186/s12859-016-1414-xopenalex-snapshot

Bon-EV: an improved multiple testing procedure for controlling false discovery rates

inferredcites →https://doi.org/10.1186/s12859-017-1609-9openalex-snapshot

A neural joint model for entity and relation extraction from biomedical text

inferredcites →https://doi.org/10.1186/s12859-017-1776-8openalex-snapshot

A neural network multi-task learning approach to biomedical named entity recognition

inferredcites →https://doi.org/10.1186/s12859-017-1855-xopenalex-snapshot

An attention-based effective neural model for drug-drug interactions extraction

inferredcites →https://doi.org/10.1186/s12859-017-1868-5openalex-snapshot

Long short-term memory RNN for biomedical named entity recognition

inferredcites →https://doi.org/10.1186/s12859-018-2029-1openalex-snapshot

Deep learning of mutation-gene-drug relations from the literature

inferredcites →https://doi.org/10.1186/s12859-018-2559-6openalex-snapshot

Accelerating a cross-correlation score function to search modifications using a single GPU

inferredcites →https://doi.org/10.1186/s12859-019-2724-6openalex-snapshot

The cell line ontology-based representation, integration and analysis of cell lines used in China

inferredcites →https://doi.org/10.1186/s12859-019-2813-6openalex-snapshot

CollaboNet: collaboration of deep neural networks for biomedical named entity recognition

inferredcites →https://doi.org/10.1186/s12859-019-3000-5openalex-snapshot

Multitask learning for biomedical named entity recognition with cross-sharing structure

inferredcites →https://doi.org/10.1186/s12859-019-3053-5openalex-snapshot

Adverse drug reaction detection via a multihop self-attention mechanism

inferredcites →https://doi.org/10.1186/s12859-020-3393-1openalex-snapshot

DTranNER: biomedical named entity recognition with deep learning-based label-label transition model

inferredcites →https://doi.org/10.1186/s12911-018-0690-yopenalex-snapshot

SBLC: a hybrid model for disease named entity recognition based on semantic bidirectional LSTMs and conditional random fields

inferredcites →https://doi.org/10.1186/s13321-018-0280-0openalex-snapshot

Putting hands to rest: efficient deep CNN-RNN architecture for chemical named entity recognition with no hand-crafted rules

inferredcites →https://doi.org/10.1186/s13321-018-0292-9openalex-snapshot

Chemotion-ELN part 2: adaption of an embedded Ketcher editor to advanced research applications

inferredcites →https://doi.org/10.1186/s13321-018-0327-2openalex-snapshot

LSTMVoter: chemical named entity recognition using a conglomerate of sequence labeling tools

inferredcites →https://doi.org/10.12688/f1000research.3216.1openalex-snapshot

An analysis on the entity annotations in biological corpora

inferredcites →https://doi.org/10.12688/f1000research.4591.2openalex-snapshot

Detecting miRNA Mentions and Relations in Biomedical Literature

inferredcites →https://doi.org/10.12688/f1000research.4591.3openalex-snapshot

Detecting miRNA Mentions and Relations in Biomedical Literature

inferredcites →https://doi.org/10.1371/journal.pcbi.1007617openalex-snapshot

BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale

inferredcites →https://doi.org/10.1371/journal.pone.0065390openalex-snapshot

The SPECIES and ORGANISMS Resources for Fast and Accurate Identification of Taxonomic Names in Text

inferredcites →https://doi.org/10.1371/journal.pone.0107477openalex-snapshot

Annotated Chemical Patent Corpus: A Gold Standard for Text Mining

inferredcites →https://doi.org/10.18517/ijaseit.6.6.1367openalex-snapshot

Biomedical Named Entity Recognition: A Review

inferredcites →https://doi.org/10.18653/v1/2020.acl-main.520openalex-snapshot

An Effective Transition-based Model for Discontinuous NER

inferredcites →https://doi.org/10.18653/v1/2020.acl-main.752openalex-snapshot

TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition

inferredcites →https://doi.org/10.18653/v1/2020.bionlp-1.22openalex-snapshot

An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining

inferredcites →https://doi.org/10.18653/v1/2020.nlpcovid19-2.27openalex-snapshot

Annotating the Pandemic: Named Entity Recognition and Normalisation in COVID-19 Literature

inferredcites →https://doi.org/10.18653/v1/d18-1230openalex-snapshot

Learning Named Entity Tagger using Domain-Specific Dictionary

inferredcites →https://doi.org/10.18653/v1/d18-1306openalex-snapshot

Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets

inferredcites →https://doi.org/10.18653/v1/k19-1048openalex-snapshot

Learning a Unified Named Entity Tagger from Multiple Partially Annotated Corpora for Efficient Adaptation

inferredcites →https://doi.org/10.18653/v1/n16-1030openalex-snapshot

Neural Architectures for Named Entity Recognition

inferredcites →https://doi.org/10.18653/v1/n18-1openalex-snapshot

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)

inferredcites →https://doi.org/10.18653/v1/n18-1001openalex-snapshot

Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition

inferredcites →https://doi.org/10.18653/v1/n18-1202openalex-snapshot

Deep Contextualized Word Representations

inferredcites →https://doi.org/10.18653/v1/p16-1209openalex-snapshot

Recurrent neural network models for disease name recognition using domain invariant features

inferredcites →https://doi.org/10.18653/v1/p18-2012openalex-snapshot

Named Entity Recognition With Parallel Recurrent Neural Networks

inferredcites →https://doi.org/10.18653/v1/w18-2319openalex-snapshot

A Framework for Developing and Evaluating Word Embeddings of Drug-named Entity

inferredcites →https://doi.org/10.18653/v1/w18-5605openalex-snapshot

Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition

inferredcites →https://doi.org/10.18653/v1/w18-5618openalex-snapshot

In-domain Context-aware Token Embeddings Improve Biomedical Named Entity Recognition

inferredcites →https://doi.org/10.3115/1567594.1567610openalex-snapshot

Introduction to the bio-entity recognition task at JNLPBA

inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot

Glove: Global Vectors for Word Representation

inferredcites →https://doi.org/10.3115/v1/e14-2openalex-snapshot

Proceedings of the Demonstrations at the 14th Conference of the European Chapter of the Association for Computational Linguistics

inferredcites →https://doi.org/10.3390/e19060283openalex-snapshot

LSTM-CRF for Drug-Named Entity Recognition

inferredcites →https://doi.org/10.3390/ijerph16193628openalex-snapshot

Ontology-Based Healthcare Named Entity Recognition from Twitter Messages Using a Recurrent Neural Network Approach

inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot

AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale

inferredcites →https://doi.org/10.48550/arxiv.1704.06360openalex-snapshot

SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data

inferredcites →https://doi.org/10.48550/arxiv.1707.06799openalex-snapshot

Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks

inferredcites →https://doi.org/10.48550/arxiv.1708.02709openalex-snapshot

Recent Trends in Deep Learning Based Natural Language Processing

inferredcites →https://doi.org/10.48550/arxiv.1901.10219openalex-snapshot

Revised JNLPBA Corpus: A Revised Version of Biomedical NER Corpus for Relation Extraction Task

inferredcites →https://doi.org/10.48550/arxiv.1908.05691openalex-snapshot

Improving Multi-Word Entity Recognition for Biomedical Texts

inferredcites →https://doi.org/10.48550/arxiv.2001.08904openalex-snapshot

MT-BioNER: Multi-task Learning for Biomedical Named Entity Recognition using Deep Bidirectional Transformers

inferredcites →https://doi.org/10.48550/arxiv.2003.12218openalex-snapshot

Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision

inferredcites →https://doi.org/10.5772/51066openalex-snapshot

Biomedical Named Entity Recognition: A Survey of Machine-Learning Tools

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Learning spatial structures of proteins improves protein–protein interaction prediction

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Deep learning joint models for extracting entities and relations in biomedical: a survey and comparison

inferred← citeshttps://doi.org/10.1093/bioadv/vbaf096openalex-snapshot

GRU-SCANET: unleashing the power of GRU-based sinusoidal capture network for precision-driven named entity recognition

inferred← citeshttps://doi.org/10.1093/bioinformatics/btae564openalex-snapshot

HunFlair2 in a cross-corpus evaluation of biomedical named entity recognition and normalization tools

inferred← citeshttps://doi.org/10.1093/bioinformatics/btae613openalex-snapshot

Lifestyle factors in the biomedical literature: an ontology and comprehensive resources for named entity recognition

inferred← citeshttps://doi.org/10.1093/bioinformatics/btag174openalex-snapshot

Accurate SPARQL generation via in-context learning and schema-based query construction

inferred← citeshttps://doi.org/10.1093/database/baae057openalex-snapshot

Towards discovery: an end-to-end system for uncovering novel biomedical relations

inferred← citeshttps://doi.org/10.1093/database/baae068openalex-snapshot

Multi-head CRF classifier for biomedical multi-class named entity recognition on Spanish clinical notes

inferred← citeshttps://doi.org/10.1093/database/baag056openalex-snapshot

I-NOWJ: adaptive context selection and knowledge-guided learning for substance use named entity recognition

inferred← citeshttps://doi.org/10.1093/jamia/ocae061openalex-snapshot

Ensemble pretrained language models to extract biomedical knowledge from literature

inferred← citeshttps://doi.org/10.1101/2023.06.01.543218openalex-snapshot

Enhanced 5mC-Methylation-Site Recognition in DNA Sequences using Token Classification and a Domain-specific Loss Function

inferred← citeshttps://doi.org/10.1101/2023.11.08.566170openalex-snapshot

BioWiC: An Evaluation Benchmark for Biomedical Concept Representation

inferred← citeshttps://doi.org/10.1101/2024.04.24.24306315openalex-snapshot

Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark

inferred← citeshttps://doi.org/10.1101/2025.04.22.648951openalex-snapshot

BioMiner: A Multi-modal System for Automated Mining of Protein-Ligand Bioactivity Data from Literature

inferred← citeshttps://doi.org/10.1109/cac59555.2023.10450919openalex-snapshot

DATG: Data Augmentation with Transformer-Based Generation for Low-Resource Named Entity Recognition

inferred← citeshttps://doi.org/10.1109/eurocon56442.2023.10199075openalex-snapshot

Medical Named Entity Recognition (MedNER): A Deep Learning Model for Recognizing Medical Entities (Drug, Disease) from Scientific Texts

inferred← citeshttps://doi.org/10.1109/icacrs62842.2024.10841739openalex-snapshot

Adapting Deep Learning Transformer Model for Depression-Specific Named Entity Recognition: A Transfer Learning Approach

inferred← citeshttps://doi.org/10.1109/ichi57859.2023.00100openalex-snapshot

Named Entity Recognition and Normalization for Alzheimer’s Disease Eligibility Criteria

inferred← citeshttps://doi.org/10.1109/ichi64645.2025.00048openalex-snapshot

Do LLMs Surpass Encoders for Biomedical NER?

inferred← citeshttps://doi.org/10.1109/icscc59169.2023.10334994openalex-snapshot

OralMedNER: A Named Entity Recognition System for Oral Medicine and Radiology

inferred← citeshttps://doi.org/10.1109/icssit55814.2023.10061119openalex-snapshot

Named Entity Recognition for Protecting Sensitive Data using Hybrid CNN

inferred← citeshttps://doi.org/10.1109/iwecai55315.2022.00111openalex-snapshot

Named Entity Recognition Based on Transformer Encoder in the Medical Field

inferred← citeshttps://doi.org/10.1109/taslp.2023.3331149openalex-snapshot

BioPRO: Context-Infused Prompt Learning for Biomedical Entity Linking

inferred← citeshttps://doi.org/10.1109/tcbb.2022.3157630openalex-snapshot

Noise Reduction Learning Based on XLNet-CRF for Biomedical Named Entity Recognition

inferred← citeshttps://doi.org/10.1109/tcbb.2023.3258448openalex-snapshot

iSnoDi-MDRF: Identifying snoRNA-Disease Associations Based on Multiple Biological Data by Ranking Framework

inferred← citeshttps://doi.org/10.1109/tcbbio.2025.3539629openalex-snapshot

Quality Scores Compression of Genomic Sequencing Data: A Comprehensive Review and Performance Evaluation

inferred← citeshttps://doi.org/10.1109/tcbbio.2026.3676374openalex-snapshot

Biomedical Named Entity Recognition and Relation Extraction: Methodologies, Challenges & Opportunities

inferred← citeshttps://doi.org/10.1145/3594409.3594423openalex-snapshot

Adversarial Transfer Learning for Biomedical Named Entity Recognition

inferred← citeshttps://doi.org/10.1145/3708036.3708087openalex-snapshot

Named Entity Recognition in Chinese Electronic Medical Records Based on Global Pointer and Medical BERT

inferred← citeshttps://doi.org/10.1155/2022/2687615openalex-snapshot

Research on Named Entity Recognition Based on Multi-Task Learning and Biaffine Mechanism

inferred← citeshttps://doi.org/10.1155/2023/2465414openalex-snapshot

IGPred‐HDnet: Prediction of Immunoglobulin Proteins Using Graphical Features and the Hierarchal Deep Learning‐Based Approach

inferred← citeshttps://doi.org/10.1177/20552076241286260openalex-snapshot

Construction, evaluation, and application of an electronic medical record corpus for cerebral palsy rehabilitation

inferred← citeshttps://doi.org/10.1186/s12859-022-05051-9openalex-snapshot

BioByGANS: biomedical named entity recognition by fusing contextual and syntactic features through graph attention network in node classification framework

inferred← citeshttps://doi.org/10.1186/s12911-023-02127-1openalex-snapshot

Subsequence and distant supervision based active learning for relation extraction of Chinese medical texts

inferred← citeshttps://doi.org/10.1371/journal.pcbi.1010404openalex-snapshot

iPiDA-LTR: Identifying piwi-interacting RNA-disease associations based on Learning to Rank

inferred← citeshttps://doi.org/10.1371/journal.pcbi.1011205openalex-snapshot

Recall DNA methylation levels at low coverage sites using a CNN model in WGBS

inferred← citeshttps://doi.org/10.1371/journal.pone.0276539openalex-snapshot

A reproducible experimental survey on biomedical sentence similarity: A string-based method sets the state of the art

inferred← citeshttps://doi.org/10.1371/journal.pone.0303231openalex-snapshot

Large language model based framework for automated extraction of genetic interactions from unstructured data

inferred← citeshttps://doi.org/10.1515/labmed-2023-0011openalex-snapshot

Medical operational AI: artificial intelligence in routine medical operations

inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.903openalex-snapshot

Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization

inferred← citeshttps://doi.org/10.18653/v1/2023.semeval-1.57openalex-snapshot

Ginn-Khamov at SemEval-2023 Task 6, Subtask B: Legal Named Entities Extraction for Heterogenous Documents

inferred← citeshttps://doi.org/10.21203/rs.3.rs-2688915/v1openalex-snapshot

Text summarization of News Articles based on named entity recognition using Spacy library

inferred← citeshttps://doi.org/10.2174/1568026622666220317164016openalex-snapshot

Analysis of Drug Repositioning and Prediction Techniques: A Concise Review

inferred← citeshttps://doi.org/10.2196/68558openalex-snapshot

Generative Models and Sentence Transformers for the Recognition and Normalization of Continuous and Discontinuous Phenotype Mentions: Model Development and Evaluation

inferred← citeshttps://doi.org/10.2196/preprints.71621openalex-snapshot

AI-Driven Resilience Strategies for Enhancing Healthcare Supply Chain Resilience: A Systematic Literature Review (Preprint)

inferred← citeshttps://doi.org/10.25126/jtiik.20231016337openalex-snapshot

Pengenalan Entitas Biomedis dalam Teks Konsultasi Kesehatan Online Berbahasa Indonesia Berbasis Arsitektur Transformers

inferred← citeshttps://doi.org/10.31083/j.fbl2703084openalex-snapshot

Comprehensive Prediction of Lipocalin Proteins Using Artificial Intelligence Strategy

inferred← citeshttps://doi.org/10.31083/j.fbl2706177openalex-snapshot

Sequence-Based Prediction with Feature Representation Learning and Biological Function Analysis of Channel Proteins

inferred← citeshttps://doi.org/10.3233/thc-openalex-snapshot

Biomedical named entity recognition based on fusion multi-features embedding

inferred← citeshttps://doi.org/10.3233/thc-236011openalex-snapshot

Biomedical named entity recognition based on fusion multi-features embedding

inferred← citeshttps://doi.org/10.32604/iasc.2023.034827openalex-snapshot

Dart Games Optimizer with Deep Learning-Based Computational Linguistics Named Entity Recognition

inferred← citeshttps://doi.org/10.3389/fcell.2021.803608openalex-snapshot

Research on the Computational Prediction of Essential Genes

inferred← citeshttps://doi.org/10.3389/fgene.2021.801261openalex-snapshot

Testing Gene-Gene Interactions Based on a Neighborhood Perspective in Genome-wide Association Studies

inferred← citeshttps://doi.org/10.3389/fgene.2021.827161openalex-snapshot

Immunoglobulin Classification Based on FC* and GC* Features

inferred← citeshttps://doi.org/10.3389/fgene.2022.960388openalex-snapshot

Identification of Vesicle Transport Proteins via Hypergraph Regularized K-Local Hyperplane Distance Nearest Neighbour Model

inferred← citeshttps://doi.org/10.3389/fgene.2022.984068openalex-snapshot

Ensemble learning-based feature selection for phosphorylation site detection

inferred← citeshttps://doi.org/10.3389/fphar.2021.799712openalex-snapshot

Bioinformatics Research on Drug Sensitivity Prediction

inferred← citeshttps://doi.org/10.3389/fphar.2021.814858openalex-snapshot

A Review of Approaches for Predicting Drug–Drug Interactions Based on Machine Learning

inferred← citeshttps://doi.org/10.3390/app14209302openalex-snapshot

Biomedical Flat and Nested Named Entity Recognition: Methods, Challenges, and Advances

inferred← citeshttps://doi.org/10.3390/biom14111447openalex-snapshot

Visualization Methods for DNA Sequences: A Review and Prospects

inferred← citeshttps://doi.org/10.3390/healthcare11091268openalex-snapshot

A Review on Electronic Health Record Text-Mining for Biomedical Name Entity Recognition in Healthcare Domain

inferred← citeshttps://doi.org/10.3390/ijms26020477openalex-snapshot

Overview and Prospects of DNA Sequence Visualization

inferred← citeshttps://doi.org/10.3390/info13100459openalex-snapshot

Knowledge Graphs and Explainable AI in Healthcare

inferred← citeshttps://doi.org/10.3390/informatics12040136openalex-snapshot

CLFF-NER: A Cross-Lingual Feature Fusion Model for Named Entity Recognition in the Traditional Chinese Festival Culture Domain

inferred← citeshttps://doi.org/10.3934/mbe.2022371openalex-snapshot

An autonomous agent for negotiation with multiple communication channels using parametrized deep Q-network

inferred← citeshttps://doi.org/10.4018/979-8-3693-3629-8.ch012openalex-snapshot

Shaping the Future of Healthcare With BERT in Clinical Text Analytics

inferred← citeshttps://doi.org/10.4018/ijswis.333711openalex-snapshot

A Named Entity Recognition Approach for Electronic Medical Records Using BERT Semantic Enhancement and BiLSTM

inferred← citeshttps://doi.org/10.48550/arxiv.2311.16588openalex-snapshot

Ascle: A Python Natural Language Processing Toolkit for Medical Text Generation

inferred← citeshttps://doi.org/10.51483/ijdsbda.3.2.2023.1-18openalex-snapshot

Visualizing Health: Advancing Natural Language Processing Through Data Visualization in Healthcare

inferred← citeshttps://doi.org/10.5753/kdmile.2022.227953openalex-snapshot

On the use of Query by Committee for Human-in-the-Loop Named Entity Recognition

inferred← citeshttps://doi.org/10.5753/sbbd_estendido.2025.247607openalex-snapshot

Extração de Sinais Vitais em Textos Clínicos usando LLMs

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