MIMIC-IV-ECG-Ext-ICD: Diagnostic labels for MIMIC-IV-ECG

The number of publicly available ECG datasets has increased tremendously in the past few years and several of these datasets have developed into widely used benchmarking datasets. However, most of them exhibit a common limitation, namely the reliance on retrospective annotation and a lack of clinical ground truth. This represents a serious limitation compared to closed in-hospital datasets. To circumvent this issue, we propose the MIMIC-IV-ECG-Ext-ICD dataset by linking the samples from the MIMIC-IV-ECG dataset to clinical ground truth from the MIMIC-IV dataset, in the form of ED and hospital discharge diagnoses. We release this derived dataset to foster further research on ECG-based prediction models with clinical ground truth and build a resource for benchmarking clinical ECG prediction models.近年来，公开可用的心电图（ECG）数据集数量急剧增加，其中多个数据集已发展成为广泛使用的基准数据集。然而，大多数数据集普遍存在一个共同缺陷，即依赖回顾性标注，且缺乏临床真实世界证据。与封闭式院内数据集相比，这构成了一个严重的限制。为规避这一问题，我们提出了MIMIC-IV-ECG-Ext-ICD数据集，通过将MIMIC-IV-ECG数据集的样本与MIMIC-IV数据集的临床真实世界证据相连接，具体表现为急诊科和医院出院诊断。我们发布此衍生数据集，旨在促进基于心电图预测模型的进一步研究，并构建一个用于临床心电图预测模型基准的资源。

搜集汇总

背景与挑战

背景概述

MIMIC-IV-ECG-Ext-ICD数据集为MIMIC-IV-ECG心电图数据提供了临床诊断标签，通过关联急诊和出院诊断（ICD-10-CM代码），支持基于心电图的临床预测模型研究。数据集包含丰富的诊断信息和基本人口统计数据，旨在促进心电图预测模型的开发和基准测试。