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Task-Specific Transformer-Based Language Models in Health Care: Scoping Review
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2 of the 128 references listed on this page are in the Retraction Watch database as retracted (export 2026-11-11): 10.1155/2021/5294627 (notice 2023-10-11), 10.1155/2022/7893775 (notice 2023-10-11).
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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inferredcites →https://doi.org/10.2196/14830openalex-snapshotFine-Tuning Bidirectional Encoder Representations From Transformers (BERT)–Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study
inferredcites →https://doi.org/10.2196/17787openalex-snapshotModified Bidirectional Encoder Representations From Transformers Extractive Summarization Model for Hospital Information Systems Based on Character-Level Tokens (AlphaBERT): Development and Performance Evaluation
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inferredcites →https://doi.org/10.2196/27850openalex-snapshotChatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review
inferredcites →https://doi.org/10.2196/32903openalex-snapshotStrategies to Address the Lack of Labeled Data for Supervised Machine Learning Training With Electronic Health Records: Case Study for the Extraction of Symptoms From Clinical Notes
inferredcites →https://doi.org/10.2196/34834openalex-snapshotPretrained Transformer Language Models Versus Pretrained Word Embeddings for the Detection of Accurate Health Information on Arabic Social Media: Comparative Study
inferredcites →https://doi.org/10.2196/39077openalex-snapshotGerman Medical Named Entity Recognition Model and Data Set Creation Using Machine Translation and Word Alignment: Algorithm Development and Validation
inferredcites →https://doi.org/10.3233/shti210195openalex-snapshotDeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
inferredcites →https://doi.org/10.3390/app112210694openalex-snapshotFine-Grained Sentiment Analysis of Arabic COVID-19 Tweets Using BERT-Based Transformers and Dynamically Weighted Loss Function
inferredcites →https://doi.org/10.7717/peerj-cs.1888openalex-snapshotexKidneyBERT: a language model for kidney transplant pathology reports and the crucial role of extended vocabularies
What points at this work
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inferred← citeshttps://doi.org/10.2196/78681openalex-snapshotEvaluating Encoder and Decoder Models for Extended Clinical Concept Recognition in Japanese Clinical Texts: Comparative Study With Weighted Soft Matching
inferred← citeshttps://doi.org/10.2196/85255openalex-snapshotPredicting Laboratory Test Ordering in Emergency Departments Using Integrated Structured and Unstructured Electronic Health Records: Machine Learning Study
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