ECG recordings created for use in the Computers in Cardiology Challenge 2001, a competition with the goal of developing automated methods for predicting paroxysmal atrial fibrillation.
Published: March 1, 2001.
Word vectors corresponding to the AMIA 2018 Informatics Summit paper of the same name.
Published: Jan. 7, 2018.
Dataset extracted from MIMIC-II for a tutorial on effectiveness of indwelling arterial catheters in hemodynamically stable patients with respiratory failure for mortality outcomes.
Published: Oct. 28, 2016.
The ShARe/CLEF eHealth 2014 Challenge (Task 2) on Disorder Attributes in Clinical Reports
Published: Nov. 1, 2013.
2013 ShARe/CLEF eHealth Evaluation Lab: Natural Language Processing and Information Retrieval for Clinical Care (Tasks 1 and 2).
natural language processing
Published: Feb. 15, 2013.
Pulmonary edema metadata and labels for MIMIC-CXR
Published: Feb. 9, 2021.
A dataset of annotated NIHSS scale items and corresponding scores from stroke patients discharge summaries in MIMIC-III.
Published: Jan. 25, 2021.
The database consists of EEG recordings of 14 epileptic patients acquired at the Unit of Neurology and Neurophysiology of the University of Siena. Subjects include 9 males (ages 25-71) and 5 females (ages 20-58).
Published: Aug. 11, 2020.
Machine learning models that have been trained using MIMIC-III to enable the creation of synthetic discharge summaries.
Published: May 27, 2020.
Physiological signals (including continuous ECG, PPG, ABP, and other signals) that are associated with patients in the MIMIC-III Clinical Database.
Published: April 7, 2020.