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Towards ontology-enhanced representation learning for large language models
F Ronzano, J Nanavati - arxiv preprint arxiv:2405.20527, 2024 - arxiv.org
Taking advantage of the widespread use of ontologies to organise and harmonize
knowledge across several distinct domains, this paper proposes a novel approach to …
knowledge across several distinct domains, this paper proposes a novel approach to …
[HTML][HTML] Towards similarity-based differential diagnostics for common diseases
Ontology-based phenotype profiles have been utilised for the purpose of differential
diagnosis of rare genetic diseases, and for decision support in specific disease domains …
diagnosis of rare genetic diseases, and for decision support in specific disease domains …
[HTML][HTML] Multi-faceted semantic clustering with text-derived phenotypes
Identification of ontology concepts in clinical narrative text enables the creation of phenotype
profiles that can be associated with clinical entities, such as patients or drugs. Constructing …
profiles that can be associated with clinical entities, such as patients or drugs. Constructing …
SpaDE: Semantic Locality Preserving Biclustering for Neuroimaging Data
The most discriminative and revealing patterns in the neuroimaging population are often
confined to smaller subdivisions of the samples and features. Especially in neuropsychiatric …
confined to smaller subdivisions of the samples and features. Especially in neuropsychiatric …
Exploring binary relations for ontology extension and improved adaptation to clinical text
Background The controlled domain vocabularies provided by ontologies make them an
indispensable tool for text mining. Ontologies also include semantic features in the form of …
indispensable tool for text mining. Ontologies also include semantic features in the form of …