PhysioNet Challenge 2012
收藏arXiv2025-09-30 收录
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https://www.physionet.org/content/challenge-2012
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资源简介：
该数据集包含了来自重症监护室（ICU）的12,000个多变量临床时间序列记录，特别使用了训练集A，其中包含了4,000次ICU住院数据。该数据集的缺失率高达80.53%，且数据非常稀疏，这给诸如预测患者院内死亡等下游任务带来了复杂性。数据集的规模为192,000个样本和37个变量，其任务是进行患者特异性的院内死亡预测。
This dataset contains 12,000 multivariate clinical time-series records collected from intensive care units (ICUs). Specifically, Training Set A is utilized, which includes 4,000 ICU admissions. The dataset has a missing rate as high as 80.53% and is extremely sparse, introducing complexity to downstream tasks such as predicting patients' in-hospital mortality. It consists of 192,000 samples and 37 variables, with the core task being patient-specific in-hospital mortality prediction.
提供机构：
PhysioNet
