Development of a Hybrid Decision Support Model for Optimal Ventricular Assist Device Weaning

Article ID	Journal	Published Year	Pages	File Type
2878358	The Annals of Thoracic Surgery	2010	8 Pages	PDF

Abstract

A clinical decision support system may facilitate and improve the identification of VAD patients who are candidates for cardiac recovery and may benefit from VAD removal. It could be potentially used to translate success of active centers to those less established and thereby expand use of VAD therapy.

Keywords

RER LVAD mPAP BIVAD ECHO LVEF TPG PWR NLP DCM ANN FAC PCWP APsys HTx aspartate amino transferase AST echocardiography left ventricle fractional area change Follow-up RET BUN Ventricular assist device biventricular assist device left ventricular assist device BBN cardiac index Bayesian belief network Artificial Neural Network Transpulmonary gradient PVR Heart rate systolic arterial pressure mean pulmonary artery pressure pulmonary capillary wedge pressure lactate dehydrogenase LDH METS Peak oxygen consumption Metabolic equivalents Pulmonary vascular resistance Magnesium Respiratory exchange ratio blood urea nitrogen wood units Natural Language Processing Heart transplantation VAD Dilated cardiomyopathy Creat left ventricular ejection fraction ejection fraction Creatinine clearance