Electronic health record (EHR) is more and more popular, and it comes with
applying machine learning solutions to resolve various problems in the domain.
This growing research area also raises the need for EHRs accessibility. Medical
Information Mart for Intensive Care (MIMIC) dataset is a popular, public, and
free EHR dataset in a raw format that has been used in numerous studies.
However, despite of its popularity, it is lacking benchmarking work, especially
with recent state of the art works in the field of deep learning with
time-series tabular data. The aim of this work is to fill this lack by
providing a benchmark for latest version of MIMIC dataset, MIMIC-IV. We also
give a detailed literature survey about studies that has been already done for
MIIMIC-III.

电子健康记录（EHR）与应用机器学习解决领域内的各种问题越来越受欢迎，而这一增长的研究领域也引发了对 EHR 可访问性的需求。本研究的目标是填补 MIMIC-IV 最新版本的 MIMIC 数据集的基准测试工作的不足，并提供一个详细的文献调查，对已经完成的 MIIMIC-III 研究进行评估。