Multiplex Classification Ontology for the MultiCaRe Experiment (MCO4MCRE)

Ontology Info

Field	Value
Acronyme	MCO4MCRE
Description	Ontology used for one of the experiments from the Multiplex Classification Framework (paper under review). This ontology is based on the set of classes from the MultiCaRe dataset. The MultiCaRe dataset is a multimodal case report dataset containing medical images that were programmatically labeled based on the content of their captions (Nievas Offidani & Delrieux, 2024). Images may have more than one label, making this a multi-label classification task. For this experiment, we selected a subset of 31 classes, including “endoscopy”, “colonoscopy”, and “mri”. The original ontology is flat, and it does not contain any logical constraints among the classes. Data Article: Nievas Offidani, M. A., & Delrieux, C. A. (2024). Dataset of clinical cases, images, image labels and captions from open access case reports from PubMed Central (1990–2023). Data in Brief, 52, 110008. https://doi.org/10.1016/j.dib.2023.110008
Format	OWL
Categories	Health, Imaging
Groups

Metric	Value
Classes	36
Individuals	0
Properties	0
Max Depth	4
Max Child Count	13
Average Child Count	5
Classes With One Child	1
Classes With More Than 25 Children	0
Classes With No Definition	36

No projects using MCO4MCRE