Labels in a haystack: Approaches beyond supervised learning in biomedical applications
A Yakimovich, A Beaugnon, Y Huang, E Ozkirimli - Patterns, 2021 - cell.com
Recent advances in biomedical machine learning demonstrate great potential for data-
driven techniques in health care and biomedical research. However, this potential has thus …
driven techniques in health care and biomedical research. However, this potential has thus …
The road from manual to automatic semantic indexing of biomedical literature: a 10 years journey
A Krithara, JG Mork, A Nentidis… - Frontiers in Research …, 2023 - frontiersin.org
Biomedical experts are facing challenges in keeping up with the vast amount of biomedical
knowledge published daily. With millions of citations added to databases like …
knowledge published daily. With millions of citations added to databases like …
[HTML][HTML] WeakMeSH: leveraging provenance information for weakly supervised classification of biomedical articles with emerging MeSH descriptors
Abstract Medical Subject Headings (MeSH) is a hierarchically structured thesaurus created
by the National Library of Medicine of USA. Each year the vocabulary gets revised, bringing …
by the National Library of Medicine of USA. Each year the vocabulary gets revised, bringing …
Zero-shot and few-shot classification of biomedical articles in context of the COVID-19 pandemic
MeSH (Medical Subject Headings) is a large thesaurus created by the National Library of
Medicine and used for fine-grained indexing of publications in the biomedical domain. In the …
Medicine and used for fine-grained indexing of publications in the biomedical domain. In the …
Using Large Language Models to Automate Category and Trend Analysis of Scientific Articles: An Application in Ophthalmology
Purpose: In this paper, we present an automated method for article classification, leveraging
the power of Large Language Models (LLM). The primary focus is on the field of …
the power of Large Language Models (LLM). The primary focus is on the field of …
DYMatch: Semi-Supervised Learning with Dynamic Pseudo Labeling and Feature Consistency
Z Mao, F Pan, J Sun - Applied Sciences, 2023 - mdpi.com
A considerable number of approaches based on consistency regularization and pseudo-
labeling have been proposed in Semi-supervised Learning (SSL) so far. These approaches …
labeling have been proposed in Semi-supervised Learning (SSL) so far. These approaches …
[HTML][HTML] Automated Category and Trend Analysis of Scientific Articles on Ophthalmology Using Large Language Models: Development and Usability Study
Background: In this paper, we present an automated method for article classification,
leveraging the power of large language models (LLMs). Objective: The aim of this study is to …
leveraging the power of large language models (LLMs). Objective: The aim of this study is to …
Instance-based zero-shot learning for semi-automatic MeSH indexing
Zero-shot learning constitutes a variant of the broader category of weakly supervised
learning algorithms. Its main asset is the possibility of identifying entities for which no …
learning algorithms. Its main asset is the possibility of identifying entities for which no …
A multi-instance multi-label weakly supervised approach for dealing with emerging MeSH descriptors
The constant evolution of Medical Subject Headings (MeSH) vocabulary and specifically the
changes in its descriptors brings forth a number of issues that need automation. The main …
changes in its descriptors brings forth a number of issues that need automation. The main …
[PDF][PDF] A multi-instance multi-label weakly supervised approach for dealing with emerging MeSH descriptors
G Tsoumakas - intelligence.csd.auth.gr
The constant evolution of Medical Subject Headings (MeSH) vocabulary and specifically the
changes in its descriptors brings forth a number of issues that need automation. The main …
changes in its descriptors brings forth a number of issues that need automation. The main …