Published February 20, 2025 | Version v1
Dataset Open

FastText embeddings for SNOMED CT concepts using MIMIC-IV notes and SNOMED CT walks

  • 1. ROR icon Universidad de Murcia
  • 2. ROR icon Trinity College Dublin
  • 3. Universidad de Murcia - Campus de Espinardo

Description

Embeddings for SNOMED CT concepts produced by models of FastText trained on different corpora. Each file contains a JSON file that links the ID of a SNOMED CT concept to its corresponding embedding. Files ft_mimicN_dict.json contain the embeddings of models trained on subsets of MIMIC-IV, where N denotes the percentage of MIMIC-IV used in the training of the model; whereas ft_snomed_ct_walks_dict.json contains the embeddings of a FastText model trained on an artifical corpus obtained by performing walks on SNOMED CT (https://doi.org/10.1016/j.jbi.2023.104297).

These embeddings were generated and studied in the paper Assessing the Effectiveness of Embedding Methods in Capturing Clinical Information from SNOMED CT () and more information can also be found in the following repository: https://github.com/JavierCastellD/AssessingSNOMEDEmbeddings.

Files

ft_mimic100_dict.json

Files (13.0 GB)

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md5:359c594e86c8c74091c0ddb22cda33f5
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