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Research Data Record
Gregory-MS: list of research papers relevant/not relevant for Multiple Sclerosis research (for machine learning training)
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.
machine-learning;
multiple sclerosis;
research papers;
| File Name | File Size |
|---|---|
| 202206_gregory_ml_source_data.csv | 11675 KB |
| Name | Affiliation | ORCID |
|---|---|---|
| Lopes, António Luís | Iscte-Instituto Universitário de Lisboa | 0000-0003-3045-0304 |
| Amaral, Bruno | 0000-0002-8056-8565 |
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| Type | Identifier | Relation |
|---|---|---|
| doi | 10.5281/zenodo.6673969 | isVersionOf |
| Year | Publication Type | Publication title |
|---|---|---|
| 2023 | Publication in conference proceedings | A machine learning approach for mapping and accelerating multiple sclerosis research |
| 2022 | Talk | A Machine Learning Approach For Mapping And Accelerating Multiple Sclerosis Research |
There are no projects associated with this record
- Computer and Information Sciences - Natural Sciences
- Health Biotechnology - Medical and Health Sciences
