Resources
36 resources
Challenge
Credentialed Access
ArchEHR-QA: A Dataset for Addressing Patient's Information Needs related to Clinical Course of Hospitalization
A dataset for grounded question answering (QA) from electronic health records (EHRs).
Challenge
Credentialed Access
SNOMED CT Entity Linking Challenge
272 discharge notes from the MIMIC-IV-Note dataset annotated with SNOMED CT concepts.
Challenge
Credentialed Access
CXR-LT: Multi-Label Long-Tailed Classification on Chest X-Rays
CXR-LT 2024 was a challenge for long-tailed, multi-label, and zero-shot thorax disease classification on chest X-rays, held at MICCAI 2024. This page contains long-tailed labels for 45 diseases from the CXR-LT 2024 and 2023 challenges.
Challenge
Credentialed Access
Discharge Me: BioNLP ACL'24 Shared Task on Streamlining Discharge Documentation
Data for the "Discharge Me!" Shared Task on Streamlining Discharge Documentation for BioNLP ACL'24
Challenge
Credentialed Access
BioNLP Workshop 2023 Shared Task 1A: Problem List Summarization
This is the data storage for BioNLP Workshop Shared Task 1A: Problem List Summarization.
Challenge
Open Access
Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022
2022 Physionet Challenge is devoted to detecting the presence or absence of murmurs from multiple heart sound recordings from multiple auscultation locations, as well as detecting the clinical outcomes.
Challenge
Credentialed Access
MIT Critical Datathon 2023: a MIMIC-IV Derived Dataset for Pulse Oximetry Correction Models
A SaO2-SpO2 Pairs Dataset derived from MIMIC-IV
Challenge
Open Access
Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021
Will Two Do? Varying Dimensions in Electrocardiography: the PhysioNet/Computing in Cardiology Challenge 2021
Challenge
Open Access
Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020
The goal of the 2020 PhysioNet - Computing in Cardiology Challenge is to design and implement a working, open-source algorithm that can automatically identify cardiac abnormalities in 12-lead ECG recordings.
Challenge
Open Access
Paroxysmal Atrial Fibrillation Events Detection from Dynamic ECG Recordings: The 4th China Physiological Signal Challenge 2021
CPSC2021 for paroxysmal atrial fibrillation events detection.