Resources

This project integrates MIMIC-III and CORAL electronic health records into knowledge graphs to improve medical analysis and enhance decision-making capabilities. Resources include two knowledge graph snapshots and two question-and-answering datasets.

This database allows the study of the feasibility of using ECG-capable smartwatches as diagnostic tools, focusing on their compliance with clinical standards and their ability to measure critical ECG parameters beyond AF detection.

The processed MIMIC-III dataset for the benchmark of Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach.

The MIMIC-IV-Ext-CEKG dataset is crafted for object-centric process mining in healthcare, specifically to create clinical event knowledge graphs for patients with multimorbidity, as well as for data mining and machine learning tasks.

Carescape is a deidentified 9 month period of high resolution telemetry data linked to Electronic Medical Records.

Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records

Chest X-Ray reports containing synthetic errors based upon the MIMIC-CXR database. Errors were injected using LLMs and sampled across common human and AI model errors.

This annotated ECG database for paediatric and CHD patients features 12-lead and intracardiac recordings, supporting advanced diagnostic algorithms.

MIMIC-IV-Ext Triage Instruction Corpus includes 9,629 ED triage cases organized by the five-level ESI, enabling LLMs to improve triage accuracy. It provides CSV data, generation prompts, expert validation samples, and SQL QC scripts.

This dataset comprises 11,094 converted DICOM and smartphone images of Cardiac Implantable Electronic Devices (CIEDs), collected from 897 patients. It aims to facilitate the development of algorithms for CIED detection and classification.