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 …
Fine-tuning large language models for rare disease concept normalization
Objective We aim to develop a novel method for rare disease concept normalization by fine-
tuning Llama 2, an open-source large language model (LLM), using a domain-specific …
tuning Llama 2, an open-source large language model (LLM), using a domain-specific …
Map** vaccine names in clinical trials to vaccine ontology using cascaded fine-tuned domain-specific language models
Background Vaccines have revolutionized public health by providing protection against
infectious diseases. They stimulate the immune system and generate memory cells to …
infectious diseases. They stimulate the immune system and generate memory cells to …
Chemical identification and indexing in PubMed full-text articles using deep learning and heuristics
The identification of chemicals in articles has attracted a large interest in the biomedical
scientific community, given its importance in drug development research. Most of previous …
scientific community, given its importance in drug development research. Most of previous …
Large Language Models for Clinical Text Cleansing Enhance Medical Concept Normalization
Most clinical information is only available as free text. Large language models (LLMs) are
increasingly applied to clinical data to streamline communication, enhance the accuracy of …
increasingly applied to clinical data to streamline communication, enhance the accuracy of …
Unsupervised SapBERT-based bi-encoders for medical concept annotation of clinical narratives with SNOMED CT
Objective Clinical narratives provide comprehensive patient information. Achieving
interoperability involves map** relevant details to standardized medical vocabularies …
interoperability involves map** relevant details to standardized medical vocabularies …
PIAT: An evolutionarily intelligent system for deep phenoty** of chinese electronic health records
Electronic health record (EHR) resources are valuable but remain underexplored because
most clinical information, especially phenotype information, is buried in the free text of EHRs …
most clinical information, especially phenotype information, is buried in the free text of EHRs …
[HTML][HTML] Extracting radiological findings with normalized anatomical information using a span-based BERT relation extraction model
Medical imaging is critical to the diagnosis and treatment of numerous medical problems,
including many forms of cancer. Medical imaging reports distill the findings and observations …
including many forms of cancer. Medical imaging reports distill the findings and observations …
Fast medical concept normalization for biomedical literature based on stack and index optimized self-attention
Medical concept normalization aims to construct a semantic map** between mentions and
concepts and to uniformly represent mentions that belong to the same concept. In the large …
concepts and to uniformly represent mentions that belong to the same concept. In the large …
[PDF][PDF] Contributions to information extraction for spanish written biomedical text
NP Miguel - 2023 - core.ac.uk
2.1 Examples of common challenges in processing clinical narrative.. 30 2.2 The languages
for labelled corpora used among the included articles in the literature review of Wu et …
for labelled corpora used among the included articles in the literature review of Wu et …