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Clinical natural language processing in languages other than English: opportunities and challenges
Background Natural language processing applied to clinical text or aimed at a clinical
outcome has been thriving in recent years. This paper offers the first broad overview of …
outcome has been thriving in recent years. This paper offers the first broad overview of …
An overview of biomedical entity linking throughout the years
Abstract Biomedical Entity Linking (BEL) is the task of map** of spans of text within
biomedical documents to normalized, unique identifiers within an ontology. This is an …
biomedical documents to normalized, unique identifiers within an ontology. This is an …
[HTML][HTML] Annotated dataset creation through large language models for non-english medical NLP
Obtaining text datasets with semantic annotations is an effortful process, yet crucial for
supervised training in natural language processing (NLP). In general, develo** and …
supervised training in natural language processing (NLP). In general, develo** and …
[HTML][HTML] CODER: knowledge-infused cross-lingual medical term embedding for term normalization
Objective This paper aims to propose knowledge-aware embedding, a critical tool for
medical term normalization. Methods We develop CODER (Cross-lingual knowledge …
medical term normalization. Methods We develop CODER (Cross-lingual knowledge …
A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine
Background The large volume of medical literature makes it difficult for healthcare
professionals to keep abreast of the latest studies that support Evidence-Based Medicine …
professionals to keep abreast of the latest studies that support Evidence-Based Medicine …
[HTML][HTML] A clinician friendly data warehouse oriented toward narrative reports: Dr. Warehouse
Introduction Clinical data warehouses are often oriented toward integration and exploration
of coded data. However narrative reports are of crucial importance for translational research …
of coded data. However narrative reports are of crucial importance for translational research …
NLI4CT: Multi-evidence natural language inference for clinical trial reports
How can we interpret and retrieve medical evidence to support clinical decisions? Clinical
trial reports (CTR) amassed over the years contain indispensable information for the …
trial reports (CTR) amassed over the years contain indispensable information for the …
[HTML][HTML] GERNERMED++: Semantic annotation in German medical NLP through transfer-learning, translation and word alignment
We present a statistical model, GERNERMED++, for German medical natural language
processing trained for named entity recognition (NER) as an open, publicly available model …
processing trained for named entity recognition (NER) as an open, publicly available model …
Semantic annotation in biomedicine: the current landscape
The abundance and unstructured nature of biomedical texts, be it clinical or research
content, impose significant challenges for the effective and efficient use of information and …
content, impose significant challenges for the effective and efficient use of information and …
Annotation-preserving machine translation of English corpora to validate Dutch clinical concept extraction tools
Objective To explore the feasibility of validating Dutch concept extraction tools using
annotated corpora translated from English, focusing on preserving annotations during …
annotated corpora translated from English, focusing on preserving annotations during …