five

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

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/14899936
下载链接
链接失效反馈
官方服务:
资源简介:
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.
创建时间:
2025-02-20
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作