Resources
6 results for "knowledge graph"
Database
Credentialed Access
AIPatient KG: MIMIC-III and CORAL Electronic Health Records based Patient Knowledge Graph
This study integrates the MIMIC-III and CORAL electronic health records into knowledge graphs to enhance their utility for advanced medical analysis and decision-making. MIMIC-III contains comprehensive data from over 40,000 patients, while CORAL fo…
Database
Credentialed Access
MIMIC-IV-Ext-CEKG: A Process-Oriented Dataset Derived from MIMIC-IV for Enhanced Clinical Insights
Maintaining a healthy population is essential for improving quality of life and overall societal well-being. One approach to achieving a healthy population is by improving patients' care pathways. This is particularly vital for patients with multipl…
Database
Open Access
Synthetic Mention Corpora for Disease Entity Recognition and Normalization
Named Entity Recognition (NER) and Entity Normalization (EN) are fundamental tasks in information extraction, particularly in the biomedical and clinical domains. NER identifies textual mentions of entities, while EN maps these mentions to unique id…
Database
Credentialed Access
RadGraph2: Tracking Findings Over Time in Radiology Reports
RadGraph2 is a dataset of 800 chest radiology reports annotated using a fine-grained entity-relationship schema, which is an expanded version of the previously introduced RadGraph dataset. In contrast with the previous approaches and the original Ra…
Database
Credentialed Access
MIMIC-Ext-CXR-QBA: A Structured, Tagged, and Localized Visual Question Answering Dataset with Question-Box-Answer Triplets and Scene Graphs for Chest X-ray Images
Visual Question Answering (VQA) enables flexible and context-dependent analysis of medical images, such as chest X-rays (CXRs), by allowing users to pose specific questions and receive nuanced answers. However, existing CXR VQA datasets are typicall…
Database
Credentialed Access
Chest ImaGenome Dataset
In recent years, with the release of multiple large datasets, automatic interpretation of chest X-ray (CXR) images with deep learning models have become feasible for specific abnormalities or for generating preliminary reports. However, despite repo…