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Survival-Prediction-in-Pulmonary-Hypertension

R code: Train a machine to familiarise with the patterns of RV dysfunction that are most strongly predictive of survival in newly-diagnosed patients and compare outcome prediction to conventional markers.

How to cite

The UK Digital Heart Project was set up by Prof Stuart Cook and Dr Declan O'Regan at the MRC Clinical Sciences Centre, Imperial College London, UK. It is co-funded by the BHF, MRC and NIHR. Please acknowledge the project in any publications and cite either:

Bai W, Shi W, de Marvao A, Dawes TJ, O'Regan DP, Cook SA, Rueckert D. A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion. Med Image Anal. 2015;26:133-145. doi:10.1016/j.media.2015.08.009

or

de Marvao A, Dawes TJ, Shi W, Minas C, Keenan NG, Diamond T, Durighel G, Montana G, Rueckert D, Cook SA, O'Regan DP. Population-based studies of myocardial hypertrophy: high resolution cardiovascular magnetic resonance atlases improve statistical power. J Cardiovasc Magn Reson. 2014;16:16. doi:10.1186/1532-429x-16-16

Copyright 2015 Imperial College London

License

This repo contains free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This resource is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License, if not see http://www.gnu.org/licenses/.

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