Predicting In-Hospital Mortality of ICU Patients: The PhysioNet/Computing in Cardiology Challenge 2012
Acuity scores, such as APACHE, SAPS, MPM, and SOFA, are widely used to account for population differ ences in studies aiming to compare how medications, care guidelines, surgery, and other interventions impact mortality in Intensive Care Unit (ICU) patients. By contrast, the focus of the PhysioNet/C...
Main Authors: | Silva, Ikaro, Moody, George B., Scott, Daniel J., Celi, Leo Anthony G., Mark, Roger Greenwood |
---|---|
Other Authors: | Massachusetts Institute of Technology. Institute for Medical Engineering & Science |
Format: | Article |
Language: | en_US |
Published: |
Computing in Cardiology
2015
|
Online Access: | http://hdl.handle.net/1721.1/93166 https://orcid.org/0000-0002-6318-2978 https://orcid.org/0000-0001-8464-5866 |
Similar Items
-
An Open-source Toolbox for Analysing and Processing PhysioNet Databases in MATLAB and Octave
by: Ikaro Silva, et al.
Published: (2014-09-01) -
Predicting acute hypotensive episodes: The 10th annual PhysioNet/Computers in Cardiology Challenge
by: Moody, George B., et al.
Published: (2010) -
PhysioNet: Physiologic signals, time series and related open source software for basic, clinical, and applied research
by: Moody, George B., et al.
Published: (2013) -
AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017
by: Moody, Benjamin Edward, et al.
Published: (2020) -
Practical Lessons on 12-Lead ECG Classification: Meta-Analysis of Methods From PhysioNet/Computing in Cardiology Challenge 2020
by: Shenda Hong, et al.
Published: (2022-01-01)