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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 Polit&eacute;cnica de Madrid. More information and the document of the project can be found&nbsp;in&nbsp;<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

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