SNOMED CT Entity Linking Challenge

This challenge, sponsored by SNOMED International, seeks to advance the development of Entity Linking models that operate on unstructured clinical texts. Participants in the challenge will train entity linking models using a subset of MIMIC-IV-Note discharge summaries that have been annotated with SNOMED CT concepts by a team of medical professionals. The full dataset (which is comprised of a training set and a test set) consists of approximately 70,000 annotations across nearly 300 discharge summaries. The competition is being hosted by DrivenData, whose platform will manage registration, code submission, and evaluation.本挑战赛由SNOMED International赞助，旨在推动面向非结构化临床文本的实体链接(Entity Linking)模型研发。参赛选手需基于由医疗专家团队标注了SNOMED CT（医学系统命名法临床术语集）概念的MIMIC-IV-Note出院小结子集，训练实体链接模型。完整数据集涵盖训练集与测试集，包含近300份出院小结的约7万条标注数据。本次竞赛由DrivenData主办，其官方平台将负责赛事注册、代码提交及模型评估的全流程管理。

搜集汇总

背景与挑战

背景概述

SNOMED CT实体链接挑战数据集旨在推动非结构化临床文本的实体链接模型发展，基于MIMIC-IV-Note出院摘要构建，包含约300份文档和75,000个由医疗专业人员标注的SNOMED CT概念。该数据集特点包括：训练集有204份文档、51,574个标注和5,336个独特概念，测试集包含未见概念以促进模型泛化，挑战由DrivenData平台托管，参与时间从2023年12月19日到2024年3月5日。