FastText embeddings obtained from SNOMED CT - Spanish and International
<p>FastText model trained in a corpus that was obtained from SNOMED CT by performing random walks. There are three models: one trained using all relations available in the international version of SNOMED CT, another one trained using only is_a relations from the international version of SNOMED and the last one is trained using all relations from the Spanish version of SNOMED CT. This was developed for the end project of the Master Degree in Artificial Intelligence in the Universidad Politécnica de Madrid. More information and the document of the project can be found in <a href="https://github.com/JavierCastellD/SemanticFormalizationSNOMED">https://github.com/JavierCastellD/SemanticFormalizationSNOMED</a>.</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0