Gregory-MS: list of research papers relevant/not relevant for Multiple Sclerosis research (for machine learning training)

Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/26273

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DC Field	Value	Language
dc.contributor.author	Lopes, A. L.	-
dc.date.accessioned	2022-10-12T13:16:03Z	-
dc.date.available	2022-10-12T13:16:03Z	-
dc.date.issued	2022-06-21	-
dc.identifier.uri	http://hdl.handle.net/10071/26273	-
dc.description.abstract	This dataset represents the list of research papers' data that was used to train and test different machine learning algorithms in the Gregory-MS project. The list includes the title and abstract (when available) of the research papers and an annotated field (relevant) that specifies if the given research paper is relevant or not for multiple sclerosis research.	eng
dc.language.iso	eng	-
dc.rights	openAccess	-
dc.subject	machine-learning	eng
dc.subject	multiple sclerosis	eng
dc.subject	research papers	eng
dc.title	Gregory-MS: list of research papers relevant/not relevant for Multiple Sclerosis research (for machine learning training)	eng
dc.type	dataset	-
dc.identifier.doi	https://doi.org/10.5281/zenodo.6673970	-
dc.rights.license	CC-BY-4.0	-
Appears in Collections:	CIES-DI - Dados de investigação Iscte-DI - Dados de Investigação

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