Resources

Cuffless blood pressure data repository that includes raw time data for 4-channel Bioimpedance signals using Graphene Tattoos from the wrist with synchronized continuous blood pressure and PPG signals from 7 subjects

The SICdb dataset, version 1.0.8 contains 27350 admissions to an ICU in an Austrian tertiary care institution.

COVID Data for Shared Learning (CDSL) is a multimodal database comprising de-identified structured health data and radiological images from 4,479 patients with COVID-19, as a comprehensive toolkit for developing predictive models.

Openly available research dataset intended for offline reinforcement learning (ORL) using natively irregular healthcare data. The dataset is intended to encourage further research into ORL methods using naturally sporadic decision intervals.

Medical Information Mart for Intensive Care Brazil (MIMIC-BR) is a Brazilian dataset of hospital and ICU adult patients anonymized data. It includes 31,789 admissions to the Einstein Hospital Israelita during a period of 3 years in the last 10 years

NPA-CP is a freely accessible dataset derived from electronic health record (EHR) information at MGB between 2015 and 2024. The dataset includes 11 different pathogens and can be used to predict hospital-onset infections for these pathogens.

MIMIC-IV-Ext Triage Instruction Corpus includes 9,629 ED triage cases organized by the five-level ESI, enabling LLMs to improve triage accuracy. It provides CSV data, generation prompts, expert validation samples, and SQL QC scripts.

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.

Dataset that links ECG records from MIMIC-IV-ECG to ED discharge and hospital discharge diagnoses, which enables to train general ECG prediction models based on clinical labels and facilitates the retrieval of further clinical metadata from MIMIC-IV.

We present EHRXQA, the first multi-modal EHR QA dataset combining structured patient records with aligned chest X-ray images. EHRXQA contains a comprehensive set of QA pairs covering image-related, table-related, and image+table-related questions.