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.

本数据集包含源自MIMIC-III（MIMIC-III）中患者病历的TensorFlow序列示例（TensorFlow SequenceExamples）。MIMIC-III是贝斯以色列女执事医疗中心公开的重症监护患者去标识化医疗数据集。每个序列示例会将单次患者就诊及既往所有就诊的数据，转换为一系列带时间戳的“特征列表”，用于描述某一时间节点之前的患者病史，该节点之后即可开展预测任务。此类数据可直接输入TensorFlow建模流水线，且包含每次就诊的住院患者死亡率标签与出院诊断编码。本次发布的初衷是提供经过预处理、可直接使用的MIMIC-III数据集版本，以支持并推动电子健康记录领域可复现的机器学习研究。