Diagnosis of Pulmonary Hypertension from Magnetic Resonance Imaging–Based Computational Models and Decision Tree Analysis

Lungu, A., Swift, A.J., Capener, D. et al. (3 more authors) (2016) Diagnosis of Pulmonary Hypertension from Magnetic Resonance Imaging–Based Computational Models and Decision Tree Analysis. Pulmonary Circulation, 6 (2). pp. 181-190. ISSN 2045-8932

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2016 by the Pulmonary Vascular Research Institute.

Keywords: Windkessel; machine learning; noninvasive diagnostic; wave reflection
Dates:
  • Published: 1 June 2016
  • Published (online): 1 June 2016
  • Accepted: 3 February 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Sheffield Teaching Hospitals
Funding Information:
Funder
Grant number
SHEFFIELD HOSPITALS CHARITABLE TRUST
141515-2
Depositing User: Symplectic Sheffield
Date Deposited: 29 Oct 2018 14:56
Last Modified: 29 Oct 2018 14:56
Published Version: https://doi.org/10.1086/686020
Status: Published
Publisher: University of Chicago Press
Refereed: Yes
Identification Number: 10.1086/686020
Open Archives Initiative ID (OAI ID):

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