Resources

156 results for "MIMIC"

Database Credentialed Access

BOLD, a blood-gas and oximetry linked dataset

João Matos, Tristan Struja, Jack Gallifant, et al.

Pulse oximeters measure peripheral arterial oxygen saturation (SpO2) noninvasively, while the gold standard involves arterial blood gas measurement (SaO2). There are known racial and ethnic disparities in their performance. BOLD is a new comprehensi…
Published: Nov. 8, 2023. Version: 1.0
Database Credentialed Access

CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes

James Mullenbach, Yada Pruksachatkun, Sean Adler, et al.

We created a dataset of clinical action items annotated over MIMIC-III. This dataset, which we call CLIP, is annotated by physicians and covers 718 discharge summaries, representing 107,494 sentences. Annotations were collected as character-level sp…
Published: June 21, 2021. Version: 1.0.0
Database Credentialed Access

EHR-ReasonCon: Reasoning-Intensive Consistency Verification Between Clinical Notes and Structured Tables in Electronic Health Records

Yeonsu Kwon, Jiho Kim, JunSeong Choi, et al.

Electronic Health Records (EHRs) combine structured data, such as medications and laboratory measurements, with unstructured clinical notes describing patient conditions and clinical events. Although these two data types provide complementary inform…
Published: Sept. 15, 2026. Version: 1.0.0
Database Open Access

CheXmask-U: Uncertainty Estimation for Landmark-Based Anatomical Segmentation Masks in Chest X-ray Images

Matias Cosarinsky, Nicolas Gaggion, Enzo Ferrante

We present an extended version of the CheXmask dataset, augmenting the original anatomical segmentation masks of chest X-rays with node-wise uncertainty estimates. The dataset retains the comprehensive coverage of five public sources—ChestX-ray8, Ch…
Published: Sept. 2, 2026. Version: 1.0.0
Database Credentialed Access

Insulin4RL: Real-Time Insulin Infusions For Offline Reinforcement Learning

Thomas Frost, Steve Harris

Offline reinforcement learning (RL) holds promise for improving healthcare decision-making. However, most existing approaches rely on discretising patient trajectories into strictly regular time intervals. This is done to improve compatibility with …
Published: June 15, 2026. Version: 1.0.0
Database Credentialed Access

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

Yuan Pu, Dennis Shung, Alexander Tong, et al.

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 Sep…
Published: March 23, 2026. Version: 1.0.0
Challenge Credentialed Access

SNOMED CT Entity Linking Challenge

Will Hardman, Mark Banks, Rory Davidson, et al.

This challenge, sponsored by SNOMED International, seeks to advance the development of Entity Linking models that operate on unstructured clinical texts. Participants in the challenge will train entity linking models using a subset of MIMIC-IV-Note …
Published: Feb. 17, 2026. Version: 1.2.1
Database Credentialed Access

Lunguage: A Benchmark for Structured and Sequential Chest X-ray Interpretation

Jong Hak Moon, Geon Choi, Paloma Rabaey, et al.

Radiology reports convey detailed clinical observations and capture diagnostic reasoning that evolves over time. However, existing evaluation methods are limited to single-report settings and rely on coarse metrics that fail to capture fine-grained …
Published: Jan. 11, 2026. Version: 1.0.0
Database Credentialed Access

EchoGraph-annotated ECHO-NOTE2NUM examples

Chieh-Ju Chao, Mohammad Asadi

This repository releases the EchoGraph-annotated ECHO-NOTE2NUM dataset, containing 45,794 echocardiography reports with comprehensive entity and relation annotations. Each report from the ECHO-NOTE2NUM dataset has been automatically annotated using …
Published: Dec. 3, 2025. Version: 1.0.0
Database Contributor Review

ER-REASON: A Benchmark Dataset for LLM-Based Clinical Reasoning in the Emergency Room

Mel Molina, Nikita Mehandru, Niloufar Golchini, et al.

The ER-Reason dataset is a benchmark designed to evaluate LLM-based clinical reasoning and decision-making in the emergency room (ER), a high-stakes setting where clinicians make rapid, consequential decisions across diverse patient presentations an…
Published: Oct. 23, 2025. Version: 1.0.0