Processed Data for Graph-Based Trajectory Modeling of Type 2 Diabetes

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Authors: Ankita Maji
Cited by: 0

Abstract

This dataset contains processed and derived features used in the study "Graph-Based Trajectory Modeling for Progression-Aware Type 2 Diabetes Subtyping". The data were derived from the MIMIC-IV v2.2 database and include:- Longitudinal laboratory measurements- Medication exposure indicators- Static patient features- Learned temporal embeddings- Cluster assignments used in analysis Due to MIMIC-IV data use restrictions, this dataset contains only processed, de-identified, and non-reversible features. Raw MIMIC-IV data are available via PhysioNet under a data use agreement. This dataset is intended solely for research and reproducibility purposes.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 January 2026
Language
EN
Document type
Dataset