An overview of biomedical entity linking throughout the years

E French, BT McInnes - Journal of biomedical informatics, 2023 - Elsevier
Abstract Biomedical Entity Linking (BEL) is the task of mapping of spans of text within
biomedical documents to normalized, unique identifiers within an ontology. This is an …

[HTML][HTML] CODER: Knowledge-infused cross-lingual medical term embedding for term normalization

Z Yuan, Z Zhao, H Sun, J Li, F Wang, S Yu - Journal of biomedical …, 2022 - Elsevier
Objective This paper aims to propose knowledge-aware embedding, a critical tool for
medical term normalization. Methods We develop CODER (Cross-lingual knowledge …

[HTML][HTML] Use of SNOMED CT in Large Language Models: Scoping Review

E Chang, S Sung - JMIR Medical Informatics, 2024 - medinform.jmir.org
Background: Large language models (LLMs) have substantially advanced natural language
processing (NLP) capabilities but often struggle with knowledge-driven tasks in specialized …

[HTML][HTML] A comprehensive evaluation of biomedical entity linking models

D Kartchner, J Deng, S Lohiya, T Kopparthi… - Proceedings of the …, 2023 - ncbi.nlm.nih.gov
Biomedical entity linking (BioEL) is the process of connecting entities referenced in
documents to entries in biomedical databases such as the Unified Medical Language …

Home healthcare clinical notes predict patient hospitalization and emergency department visits

M Topaz, K Woo, M Ryvicker, M Zolnoori… - Nursing research, 2020 - journals.lww.com
Background About 30% of home healthcare patients are hospitalized or visit an emergency
department (ED) during a home healthcare (HHC) episode. Novel data science methods are …

[HTML][HTML] An assessment of mentions of adverse drug events on social media with natural language processing: model development and analysis

D Yu, VGV Vydiswaran - JMIR Medical Informatics, 2022 - medinform.jmir.org
Background Adverse reactions to drugs attract significant concern in both clinical practice
and public health monitoring. Multiple measures have been put into place to increase …

[HTML][HTML] How do others cope? Extracting coping strategies for adverse drug events from social media

A Dirkson, S Verberne, G Van Oortmerssen… - Journal of Biomedical …, 2023 - Elsevier
Patients advise their peers on how to cope with their illness in daily life on online support
groups. To date, no efforts have been made to automatically extract recommended coping …

Revealing the immune cell subtype reconstitution profile in patients from the CLARITY study using deconvolution algorithms after cladribine tablets treatment

I Kalatskaya, G Giovannoni, T Leist, J Cerra… - Scientific Reports, 2023 - nature.com
Abstract Immune Cell Deconvolution methods utilizing gene expression profiling to quantify
immune cells in tissues and blood are an appealing alternative to flow cytometry. Our …

Analysis of the full-size russian corpus of internet drug reviews with complex ner labeling using deep learning neural networks and language models

A Sboev, S Sboeva, I Moloshnikov, A Gryaznov… - Applied Sciences, 2022 - mdpi.com
The paper presents the full-size Russian corpus of Internet users' reviews on medicines with
complex named entity recognition (NER) labeling of pharmaceutically relevant entities. We …

A risk identification model for detection of patients at risk of antidepressant discontinuation

A Zolnour, CE Eldredge, A Faiola… - Frontiers in Artificial …, 2023 - frontiersin.org
Purpose Between 30 and 68% of patients prematurely discontinue their antidepressant
treatment, posing significant risks to patient safety and healthcare outcomes. Online …