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Neuro-Symbolic XAI: Application to Drug Repurposing for Rare Diseases
| dc.rights.license | open | en_US |
| hal.structure.identifier | Bordeaux population health [BPH] | |
| dc.contributor.author | DRANCE, Martin | |
| dc.date.accessioned | 2022-06-10T08:07:40Z | |
| dc.date.available | 2022-06-10T08:07:40Z | |
| dc.date.issued | 2022-04-08 | |
| dc.date.conference | 2022-04-11 | |
| dc.identifier.issn | 978-3-031-00129-1 | en_US |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/140179 | |
| dc.description.abstractEn | An emerging challenge in high stakes fields such as healthcare is to build a more transparent artificial intelligence. Among the fields which use AI techniques, is drug development, and more specifically drug repurposing. DR involves finding a new indication for an existing drug. The hypotheses generated by DR techniques must be validated. Therefore, the mechanism of generation must be understood. In this project, we focus on DR using link prediction algorithms. Link prediction consists of generating hypotheses about the relationships between a known molecule and a given target. More specifically, this PhD project aims at creating methods allowing to make transparent prediction in the context of drug repurposing but also to understand how the organization of data in a knowledge graph changes the quality of predictions. | |
| dc.language.iso | EN | en_US |
| dc.subject.en | XAI | |
| dc.subject.en | Drug repurposing | |
| dc.subject.en | Knowledge graph | |
| dc.title.en | Neuro-Symbolic XAI: Application to Drug Repurposing for Rare Diseases | |
| dc.type | Communication dans un congrès avec actes | en_US |
| dc.identifier.doi | 10.1007/978-3-031-00129-1_51 | en_US |
| dc.subject.hal | Sciences du Vivant [q-bio]/Santé publique et épidémiologie | en_US |
| bordeaux.page | 539-543 | en_US |
| bordeaux.volume | 13247 | en_US |
| bordeaux.hal.laboratories | Bordeaux Population Health Research Center (BPH) - UMR 1219 | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.institution | INSERM | en_US |
| bordeaux.conference.title | International Conference on Database Systems for Advanced Applications | en_US |
| bordeaux.country | fr | |
| bordeaux.title.proceeding | Database Systems for Advanced Applications. DASFAA 2022. Lecture Notes in Computer Science. | en_US |
| bordeaux.team | AHEAD_BPH | en_US |
| bordeaux.team | ERIAS | en_US |
| bordeaux.conference.city | Virtual | en_US |
| bordeaux.peerReviewed | oui | en_US |
| hal.identifier | hal-03692911 | |
| hal.version | 1 | |
| hal.date.transferred | 2022-06-10T08:08:26Z | |
| hal.export | true | |
| dc.rights.cc | Pas de Licence CC | en_US |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2022-04-08&rft.volume=13247&rft.spage=539-543&rft.epage=539-543&rft.eissn=978-3-031-00129-1&rft.issn=978-3-031-00129-1&rft.au=DRANCE,%20Martin&rft.genre=proceeding |
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