Resources

53 results for "mimic-iii"

Database Restricted Access

MIMIC-III-Ext-Synthetic-Clinical-Trial-Questions

Elizabeth Woo, Michael Craig Burkhart, Emily Alsentzer, et al.

Large-language models (LLMs) show promise for extracting information from clinical notes. Deploying these models at scale can be challenging due to high computational costs, regulatory constraints, and privacy concerns. To address these challenges, …
Published: April 22, 2025. Version: 1.0.0
Database Credentialed Access

DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries

Jayetri Bardhan, Anthony Colas, Kirk Roberts, et al.

Electronic Health Records (EHR) contain patient records, stored in structured tables as well as unstructured clinical notes. The information in structured and unstructured EHR records is not strictly disjoint: information may be duplicated, contradi…
Published: April 12, 2022. Version: 1.0.0
Database Credentialed Access

Northwestern ICU (NWICU) database

Dana Moukheiber, William Temps, Bhadrappa Molgi, et al.

Retrospective medical data collection is essential for advancing patient care, offering insights and supporting the development of health technology. The Medical Information Mart for Intensive Care (MIMIC)-III database has been instrumental in provi…
Published: Nov. 19, 2024. Version: 0.1.0
Database Credentialed Access

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

Yeonsu Kwon, Jiho Kim, Gyubok Lee, et al.

Electronic Health Records (EHRs) are integral for storing comprehensive patient medical records, combining structured data (e.g., medications) with detailed clinical notes (e.g., physician notes). These elements are essential for straightforward dat…
Published: March 19, 2025. Version: 1.0.1
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

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

Annotated Social Determinants of Health Dataset for Adverse Pregnancy Outcomes

Nidhi Soley, MaKhaila Bentil, Jash Shah, et al.

This project presents an annotated dataset derived from MIMIC-III and MIMIC-IV discharge summaries, focusing on key Social Determinants of Health (SDoH) factors—social support, occupation, and substance use—and their association with adverse pregnan…
Published: Aug. 4, 2025. Version: 1.0.0
Database Credentialed Access

MIMIC-IV

Alistair Johnson, Lucas Bulgarelli, Tom Pollard, et al.

Retrospectively collected medical data has the opportunity to improve patient care through knowledge discovery and algorithm development. Broad reuse of medical data is desirable for the greatest public good, but data sharing must be done in a manne…
Published: Oct. 11, 2024. Version: 3.1
Database Credentialed Access

MIMIC-Ext-DrugDetection

Fabrice Harel-Canada, Nanyun Peng, David Goodman, et al.

This project shares a large, annotated drug detection dataset created from MIMIC-III/IV discharge summaries. The dataset was developed to address the challenge of identifying substance use behaviors in Electronic Health Records (EHRs), where critica…
Published: Sept. 25, 2025. Version: 1.0.0
Database Restricted Access

MIMIC-IV-Ext-Apixaban-Trial-Criteria-Questions

Elizabeth Woo, Michael Craig Burkhart, Emily Alsentzer, et al.

Large-language models (LLMs) show promise for extracting information from clinical notes. Deploying these models at scale can be challenging due to high computational costs, regulatory constraints, and privacy concerns. To address these challenges, …
Published: April 30, 2025. Version: 1.0.0