Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders

• Published in: arXiv.org
• Main Authors: Puyol-Antón, Esther, Ruijsink, Bram, Clough, James R, Oksuz, Ilkay, Rueckert, Daniel, Razavi, Reza, King, Andrew P
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 13.08.2019
• Subjects: Biomarkers; Blood pressure; Cardiac function; Computer Science - Learning; Impact analysis; Machine learning; Regression analysis; Risk analysis; Statistics - Machine Learning; United Kingdom > UK

Maintaining good cardiac function for as long as possible is a major concern for healthcare systems worldwide and there is much interest in learning more about the impact of different risk factors on cardiac health. The aim of this study is to analyze the impact of systolic blood pressure (SBP) on c...