Clinical Time Series Datasets for Trajectory Flow Matching Evaluation: ICU Sepsis, ICU Cardiac Arrest, and ICU GIB Cohorts

This resource comprises three clinical time series datasets used in the paper
Trajectory Flow Matching with Applications to Clinical Time Series Modeling to
evaluate models for handling irregularly sampled data in critical care
settings. The ICU Sepsis and ICU Cardiac Arrest datasets are derived from the
eICU Collaborative Research Database v2.0, and the ICU Gastrointestinal
Bleeding (GIB) Dataset is derived from the MIMIC-III database. The ICU Sepsis
Dataset includes 3362 patients with sepsis as the primary admission diagnosis,
the ICU Cardiac Arrest Dataset contains 64589 ICU patients at risk for cardiac
arrest, and the ICU GIB Dataset includes 2602 patients with gastrointestinal
bleeding. Each dataset is split into training, validation, and test sets with
a ratio of 0.8/0.1/0.1. These datasets were used to demonstrate the improved
performance of the Trajectory Flow Matching (TFM). Sharing these datasets aims
to facilitate further exploration of clinical time series modeling, the
development of new models in the medical domain, and to help others replicate
the experimental results.