Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/26273
Author(s): | Lopes, A. L. |
Date: | 21-Jun-2022 |
Title: | Gregory-MS: list of research papers relevant/not relevant for Multiple Sclerosis research (for machine learning training) |
DOI (Digital Object Identifier): | https://doi.org/10.5281/zenodo.6673970 |
Keywords: | machine-learning multiple sclerosis research papers |
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. |
Access type: | Open Access |
Appears in Collections: | CIES-DI - Dados de investigação Iscte-DI - Dados de Investigação |
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