Evaluation of synthetic categorical data generation techniques for predicting cardiovascular diseases and post-hoc interpretability of the risk factors
| dc.contributor.author | García-Vicente, Clara | |
| dc.contributor.author | Chushig-Muzo, David | |
| dc.contributor.author | Mora-Jiménez, Inmaculada | |
| dc.contributor.author | Fabelo, Himar | |
| dc.contributor.author | Gram, Inger Torhild | |
| dc.contributor.author | Løchen, Maja-Lisa | |
| dc.contributor.author | Granja, Conceição | |
| dc.contributor.author | Soguero-Ruiz, Cristina | |
| dc.date.accessioned | 2023-08-30T07:07:23Z | |
| dc.date.available | 2023-08-30T07:07:23Z | |
| dc.date.created | 2023-05-05T10:35:51Z | |
| dc.date.issued | 2023 | |
| dc.identifier.citation | García-Vicente, C., Chushig-Muzo, D., Mora-Jiménez, I., Fabelo, H., Gram, I- T., Løchen, M.-L., Granja, C., Soguero-Ruiz, C. (2023). Evaluation of synthetic categorical data generation techniques for predicting cardiovascular diseases and post-hoc interpretability of the risk factors. Applied Sciences, 13(7), Article 4119. doi: | en_US |
| dc.identifier.issn | 2076-3417 | |
| dc.identifier.uri | https://hdl.handle.net/11250/3086304 | |
| dc.language.iso | eng | en_US |
| dc.publisher | MDPI | en_US |
| dc.rights | Navngivelse 4.0 Internasjonal | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
| dc.title | Evaluation of synthetic categorical data generation techniques for predicting cardiovascular diseases and post-hoc interpretability of the risk factors | en_US |
| dc.type | Peer reviewed | en_US |
| dc.type | Journal article | en_US |
| dc.description.version | publishedVersion | en_US |
| dc.rights.holder | © 2023 The Authors | en_US |
| dc.source.pagenumber | 23 | en_US |
| dc.source.volume | 13 | en_US |
| dc.source.journal | Applied Sciences | en_US |
| dc.source.issue | 7 | en_US |
| dc.identifier.doi | 10.3390/app13074119 | |
| dc.identifier.cristin | 2145735 | |
| dc.relation.project | EC/H2020/101017385 | en_US |
| dc.relation.project | The Research Council of Norway: 269882 | en_US |
| dc.source.articlenumber | 4119 | en_US |
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