Resources


Model Credentialed Access

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

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

Fine-tuned GatorTron LLM for veterinary diagnosis coding to 7,739 SNOMED-CT codes based on clinical summary text from the Colorado State University Veterinary Teaching Hospital.

transformers natural language processing foundational models one health diagnoses snomed-ct veterinary medicine omop cdm veterinary medical records clinical coding large language models

Published: Jan. 25, 2026. Version: 1.0.0

Database Credentialed Access

ENCoDE, mEasuring skiN Color to correct pulse Oximetry DisparitiEs: skin tone and clinical data from a prospective trial on acute care patients.

Sicheng Hao, Katelyn Dempsey, João Matos, et al.

A prospective collected EHR-linked skin tone measurements database in OMOP format with emphasis on pulse oximetry disparities.

Published: Aug. 22, 2024. Version: 1.0.0

Database Credentialed Access

EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries

Sunjun Kweon, Jiyoun Kim, Heeyoung Kwak, et al.

An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries

Published: June 26, 2024. Version: 1.0.1

Database Credentialed Access

ODD: A Benchmark Dataset for the NLP-based Opioid Related Aberrant Behavior Detection

Sunjae Kwon, Xun Wang, Weisong Liu, et al.

Opioid-related aberrant behaviors (ORABs) detection Dataset (ODD) which is a large-size, expert-annotated, and multi-label classification benchmark dataset corresponding to the task

substance use opioid related aberrant behavior natural language processing

Published: Jan. 11, 2024. Version: 1.0.0

Database Credentialed Access

Annotation dataset of problematic opioid use and related contexts from MIMIC-III Critical Care Database discharge summaries

Melissa Poulsen, Vanessa Troiani, Philip Freda, et al.

The database contains a corpus of annotated data from the MIMIC-III Critical Care Database from a study that aimed to develop and apply an annotation schema to characterize opioid use disorder and related contextual factors.

opioid use disorder substance use natural language processing clinical notes

Published: Feb. 8, 2023. Version: 1.0.0

Database Credentialed Access

Tasks 1 and 3 from Progress Note Understanding Suite of Tasks: SOAP Note Tagging and Problem List Summarization

Yanjun Gao, John Caskey, Timothy Miller, et al.

We introduce a hierarchical annotation suite of tasks addressing clinical text understanding, reasoning and abstraction over evidence, and diagnosis summarization. One task is section tagging major section and the other task is diagnosis generation.

Published: Sept. 30, 2022. Version: 1.0.0

Database Credentialed Access

Learning to Ask Like a Physician: a Discharge Summary Clinical Questions (DiSCQ) Dataset

Eric Lehman

Dataset of questions asked by medical experts about patients. Medical experts will read a discharge summary line-by-line and (1) ask any question that they may have and (2) record what in the text "triggered" them to ask their question.

question generation question answering machine learning

Published: July 28, 2022. Version: 1.0

Database Credentialed Access

MIMIC-III and eICU-CRD: Feature Representation by FIDDLE Preprocessing

Shengpu Tang, Parmida Davarmanesh, Yanmeng Song, et al.

Features and labels from MIMIC-III and eICU-CRD produced by FIDDLE, an EHR preprocessing pipeline.

preprocessing electronic health record machine learning

Published: April 28, 2021. Version: 1.0.0

Database Credentialed Access

National Institutes of Health Stroke Scale (NIHSS) Annotations for the MIMIC-III Database

Jiayang Wang, Xiaoshuo Huang, Lin Yang, et al.

A dataset of annotated NIHSS scale items and corresponding scores from stroke patients discharge summaries in MIMIC-III.

Published: Jan. 25, 2021. Version: 1.0.0

Database Credentialed Access

Phenotype Annotations for Patient Notes in the MIMIC-III Database

Edward Moseley, Leo Anthony Celi, Joy Wu, et al.

Clinical notes, annotated by at least two expert annotators for over ten patient phenotypes, including advanced cancer, substance abuse, and treatment non-adherence.

patient classification natural language processing

Published: March 5, 2020. Version: 1.20.3