Resources

Outlined is a pressure, flow, and volume dataset using a using a modular device to simulate the effects of obstructive pulmonary disease in healthy people. 20 healthy subjects were included in this dataset.

This is the data storage for BioNLP Workshop Shared Task 1A: Problem List Summarization.

Outlined is a pressure, flow, volume, dynamic circumference, and EIT assessed aeration dataset from resting breathing with REO at increasing CPAP PEEP settings. Vapers, asthmatics, smokers, and otherwise healthy people were included in the trial.

An open-source pulse oximetry and arterial blood gas dataset, derived from MIMIC-III, MIMIC-IV, and eICU-CRD

A suite of classifiers for detecting three types of stigmatizing language in electronic medical records. Trained on MIMIC-IV discharge notes.

Fine tune transformer-based neural networks to deidentify clinical text data.

The design and development of ICEHG DS was funded by the Slovenian Research Agency (ARRS) under the research project Metabolic and inborn factors of reproductive health, birth III.

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.

The MIMIC-IV ECG module contains approximately 800,000 diagnostic electrocardiograms across nearly 160,000 unique patients. These patients overlap with the patients from the MIMIC-IV Clinical Database.

Brain activity and eye gaze data were collected from a group of 25 participants who completed the FLS tasks using a trainer box (Pyxus®). Each participant performed the tasks five times, and their performance was evaluated by an expert rater.