Resources

This challenge aims to encourage the exploration of robust methods for locating heart beats in continuous long-term data from bedside monitors and similar devices that record not only ECG but usually other physiologic signals as well, including puls…

The focus of the PhysioNet/CinC Challenge 2012 is to develop methods for patient-specific prediction of in-hospital mortality. Participants will use information collected during the first two days of an ICU stay to predict which patients survive the…

This year's challenge is the tenth in the annual series of open challenges hosted by PhysioNet in cooperation with Computers in Cardiology. The goal of the challenge is to predict which patients in the challenge dataset will experience an acute …

record is an MS-DOS application that determines what signals and measurements are available from a Hewlett-Packard (Agilent/Philips) Merlin (a.k.a. CMS or Component Monitoring System) patient monitor, and then logs all of the available data to disk …

This is a resource for training machine learning models for language inference in the medical domain.

This project contains the code used for a study that rigorously compares 11 estimates against thermodilution cardiac output (TCO) using 120 subjects from the MIMIC II database (all subjects for whom multiple TCO measurements were recorded at the tim…

2013 ShARe/CLEF eHealth Evaluation Lab: Natural Language Processing and Information Retrieval for Clinical Care (Tasks 1 and 2).