Resources


Database Open Access

Icentia11k Single Lead Continuous Raw Electrocardiogram Dataset

Shawn Tan, Satya Ortiz-Gagné, Nicolas Beaudoin-Gagnon, et al.

This is a dataset of continuous raw electrocardiogram (ECG) signals for representation learning containing 11 thousand patients and 2 billion labelled beats.

representation learning ecg

Published: April 12, 2022. Version: 1.0

Visualize waveforms

Database Credentialed Access

Symile-MIMIC: a multimodal clinical dataset of chest X-rays, electrocardiograms, and blood labs from MIMIC-IV

Adriel Saporta, Aahlad Manas Puli, Mark Goldstein, et al.

A multimodal clinical dataset consisting of CXRs, ECGs, and blood labs, designed to evaluate Symile, a simple contrastive loss that accommodates any number of modalities and allows any model to produce representations for each modality.

database cxr ecg chest x-ray mimic contrastive learning model multimodal electrocardiogram

Published: Jan. 28, 2025. Version: 1.0.0

Model Credentialed Access

EntityBERT: BERT-based Models Pretrained on MIMIC-III with or without Entity-centric Masking Strategy for the Clinical Domain

Chen Lin, Steven Bethard, Guergana Savova, et al.

Pretraining of models with a broad representation of biomedical terminology (PubMedBERT) on MIMIC-III corpus along with or without a novel entity-centric masking strategy.

Published: March 17, 2022. Version: 1.0.1

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

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 Open Access

Synthetic Mention Corpora for Disease Entity Recognition and Normalization

Kuleen Sasse, John David Osborne

We present the Synthetic Mention Corpora for Disease Entity Recognition and Normalization, containing 128000 disease mentions from the UMLS disorder group, generated by an LLM. This corpus aims to improve these tasks in biomedical and clinical texts.

nlp machine learning named entity recognition data augmentation entity normalization

Published: Feb. 3, 2025. Version: 1.0.0

Database Open Access

Synthetic Mention Corpora for Disease Entity Recognition and Normalization

Kuleen Sasse, John David Osborne

We present the Synthetic Mention Corpora for Disease Entity Recognition and Normalization, containing 128000 disease mentions from the UMLS disorder group, generated by an LLM. This corpus aims to improve these tasks in biomedical and clinical texts.

nlp machine learning named entity recognition data augmentation entity normalization

Published: Feb. 3, 2025. Version: 1.0.0

Database Open Access

Icentia11k Single Lead Continuous Raw Electrocardiogram Dataset

Shawn Tan, Satya Ortiz-Gagné, Nicolas Beaudoin-Gagnon, et al.

This is a dataset of continuous raw electrocardiogram (ECG) signals for representation learning containing 11 thousand patients and 2 billion labelled beats.

representation learning ecg

Published: April 12, 2022. Version: 1.0

Visualize waveforms