Resources

32 results for "nlp"

Model Credentialed Access

Fine-tuning foundational models to code diagnoses from veterinary health records

Adam Kiehl, Nadia Saklou, G Joseph Strecker, et al.

Veterinary medical records represent a large data resource for application to veterinary and One Health clinical research efforts. Use of the data is limited by interoperability challenges including inconsistent data formats and data siloing. Clinic…
Published: Jan. 25, 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 Credentialed Access

RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports

Jean-Benoit Delbrouck

Radiology reports are essential for clinical care but pose challenges for automated processing due to their unstructured nature. Existing datasets like RadGraph-1.0 focus narrowly on chest X-rays (CXR), limiting their applicability. We introduce Rad…
Published: Sept. 12, 2025. Version: 1.0.0
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-Ext Triage Instruction Corpus

Qingyang Shen, Quan Guo

Emergency department (ED) overcrowding leads to delayed care, increased patient risk, and inefficient resource use. The MIMIC-IV-Ext Triage Instruction Corpus (MIETIC) addresses this by providing 9,629 structured triage cases from MIMIC-IV, aligned …
Published: March 4, 2025. Version: 1.0.0
Database Credentialed Access

MIMIC-IV-Ext-BHC: Labeled Clinical Notes Dataset for Hospital Course Summarization

Asad Aali, Dave Van Veen, Yamin Arefeen, et al.

This dataset presents a curated collection of preprocessed and labeled clinical notes derived from the MIMIC-IV-Note database. The primary aim of this resource is to facilitate the development and training of machine learning models focused on summa…
Published: Feb. 3, 2025. Version: 1.2.0
Database Credentialed Access

Medication Extraction Labels for MIMIC-IV-Note Clinical Database

Akshay Goel, Almog Gueta, Omry Gilon, et al.

This dataset release provides medication extraction labels for a subset of 600 discharge summaries from the 2023 MIMIC-IV-Note dataset. These labels are consistent with the schema from the 2009 i2b2 Workshop on NLP Challenges dataset. We utilized a …
Published: Dec. 12, 2023. Version: 1.0.0
Challenge Credentialed Access

BioNLP Workshop 2023 Shared Task 1A: Problem List Summarization

Yanjun Gao, Dmitriy Dligach, Timothy Miller, et al.

Automatically summarizing patients’ main problems from the daily care notes in the electronic health record can help mitigate information and cognitive overload for clinicians and provide augmented intelligence via computerized diagnostic decision s…
Published: Nov. 12, 2023. Version: 2.0.0
Model Credentialed Access

Characterization of Stigmatizing Language in Medical Records

Keith Harrigian, Ayah Zirikly, Brant Chee, et al.

Widespread disparities in clinical outcomes exist between different demographic groups in the United States. A new line of work in medical sociology has demonstrated physicians often use stigmatizing language in electronic medical records within cer…
Published: Nov. 6, 2023. Version: 1.0.0
Database Credentialed Access

RuMedNLI: A Russian Natural Language Inference Dataset For The Clinical Domain

Pavel Blinov, Aleksandr Nesterov, Galina Zubkova, et al.

There is a shortage of text medical resources for the Russian language. This is a substantial obstacle in state-of-the-art NLP deep learning models research and development. To mitigate this issue we translated the MedNLI data from English to Russia…
Published: April 1, 2022. Version: 1.0.0