MIMIC-III - SequenceExamples for TensorFlow modeling

This dataset contains TensorFlow SequenceExamples derived from patient records in MIMIC-III, a freely available set of deidentified medical records from critical care patients at Beth Israel Deaconess Medical Center. Each SequenceExample converts data from an individual patient encounter and any previous encounters into a set of timestamped “feature lists” describing the patient history up to a certain time, beyond which predictions can be made. These data are suitable for direct input into TensorFlow modeling pipelines, and include labels for inpatient mortality and discharge diagnosis codes for each encounter. The intent of this release is to provide a preprocessed, ready-to-use version of MIMIC-III to support and enable reproducible machine learning research for electronic health records.

本数据集包含由 MIMIC-III 中患者记录派生的 TensorFlow SequenceExamples，MIMIC-III 是一套可自由获取的、对重症监护患者进行去标识化处理的医疗记录集合，源自 Beth Israel Deaconess 医疗中心。每个 SequenceExample 将单个患者就诊以及任何先前就诊的数据转换为一系列时间戳标记的“特征列表”，用以描述患者至某一时间点的病史，该时间点之后可以进行预测。这些数据可直接输入 TensorFlow 模型处理流程，并包含每个就诊的住院死亡标签和出院诊断代码。本次发布的目的是提供经过预处理、可直接使用的 MIMIC-III 版本，以支持并促进电子健康记录的机器学习研究的可重复性。