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Chinese medical entity recognition based on the dual-branch TENER model
BackgroundNamed Entity Recognition (NER) is a long-standing fundamental problem in various research fields of Natural Language Processing (NLP) and...
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An imConvNet-based deep learning model for Chinese medical named entity recognition
BackgroundWith the development of current medical technology, information management becomes perfect in the medical field. Medical big data analysis...
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Provision and Characterization of a Corpus for Pharmaceutical, Biomedical Named Entity Recognition for Pharmacovigilance: Evaluation of Language Registers and Training Data Sufficiency
Introduction and ObjectiveMachine learning (ML) systems are widely used for automatic entity recognition in pharmacovigilance. Publicly available...
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A multi-layer soft lattice based model for Chinese clinical named entity recognition
ObjectiveNamed entity recognition (NER) is a key and fundamental part of many medical and clinical tasks, including the establishment of a medical...
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Multi-task learning for Chinese clinical named entity recognition with external knowledge
BackgroundNamed entity recognition (NER) on Chinese electronic medical/healthcare records has attracted significantly attentions as it can be applied...
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PICO entity extraction for preclinical animal literature
BackgroundNatural language processing could assist multiple tasks in systematic reviews to reduce workflow, including the extraction of PICO elements...
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Korean clinical entity recognition from diagnosis text using BERT
BackgroundWhile clinical entity recognition mostly aims at electronic health records (EHRs), there are also the demands of dealing with the other...
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An evaluation of GPT models for phenotype concept recognition
ObjectiveClinical deep phenoty** and phenotype annotation play a critical role in both the diagnosis of patients with rare disorders as well as in...
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Dysgenetic Polycystic Disease of the Salivary Glands: A Case Report of This Rare Entity Occurring for the First Time in the Minor Salivary Glands of the Tongue, and a Review of the Literature
Dysgenetic polycystic disease, also known just as polycystic disease, is a very rare developmental abnormality affecting the salivary gland duct...
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Constructing fine-grained entity recognition corpora based on clinical records of traditional Chinese medicine
BackgroundIn this study, we focus on building a fine-grained entity annotation corpus with the corresponding annotation guideline of traditional...
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Improving clinical named entity recognition in Chinese using the graphical and phonetic feature
BackgroundClinical Named Entity Recognition is to find the name of diseases, body parts and other related terms from the given text. Because Chinese...
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A virtual surgical prototype system based on gesture recognition for virtual surgical training in maxillofacial surgery
BackgroundVirtual reality (VR) technology is an ideal alternative of operation training and surgical teaching. However, virtual surgery is usually...
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An attention-based deep learning model for clinical named entity recognition of Chinese electronic medical records
BackgroundClinical named entity recognition (CNER) is important for medical information mining and establishment of high-quality knowledge map. Due...
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Extracting laboratory test information from paper-based reports
BackgroundIn the healthcare domain today, despite the substantial adoption of electronic health information systems, a significant proportion of...
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Service-oriented Device Connectivity interface for a situation recognition system in the OR
PurposeContext awareness in the operating room (OR) is important to realize targeted assistance to support actors during surgery. A situation...
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Composition-driven symptom phrase recognition for Chinese medical consultation corpora
BackgroundSymptom phrase recognition is essential to improve the use of unstructured medical consultation corpora for the development of automated...
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PASCAL: a pseudo cascade learning framework for breast cancer treatment entity normalization in Chinese clinical text
BackgroundsKnowledge discovery from breast cancer treatment records has promoted downstream clinical studies such as careflow mining and therapy...
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Exploration of biomedical knowledge for recurrent glioblastoma using natural language processing deep learning models
BackgroundEfficient exploration of knowledge for the treatment of recurrent glioblastoma (GBM) is critical for both clinicians and researchers....
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Is Dignity Still Necessary in Health Care? From Definition to Recognition of Human Dignity
The concept of dignity is not, as some scholars claim, an unnecessary moral idea, and nor need it have religious overtones or be characterised by...
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Automatic Extraction of Comprehensive Drug Safety Information from Adverse Drug Event Narratives in the Korea Adverse Event Reporting System Using Natural Language Processing Techniques
IntroductionConcerns have been raised over the quality of drug safety information, particularly data completeness, collected through spontaneous...
