Prediction of incident cardiovascular events using machine learning and CMR radiomics
Prediction of incident cardiovascular events using machine learning and CMR radiomics
About this item
Full title
Author / Creator
Pujadas, Esmeralda Ruiz , Raisi-Estabragh, Zahra , Szabo, Liliana , McCracken, Celeste , Morcillo, Cristian Izquierdo , Campello, Víctor M. , Martín-Isla, Carlos , Atehortua, Angelica M. , Vago, Hajnalka , Merkely, Bela , Maurovich-Horvat, Pal , Harvey, Nicholas C. , Neubauer, Stefan , Petersen, Steffen E. and Lekadir, Karim
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
Objectives
Evaluation of the feasibility of using cardiovascular magnetic resonance (CMR) radiomics in the prediction of incident atrial fibrillation (AF), heart failure (HF), myocardial infarction (MI), and stroke using machine learning techniques.
Methods
We identified participants from the UK Biobank who experienced incident AF, HF, MI,...
Alternative Titles
Full title
Prediction of incident cardiovascular events using machine learning and CMR radiomics
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10121487
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10121487
Other Identifiers
ISSN
1432-1084,0938-7994
E-ISSN
1432-1084
DOI
10.1007/s00330-022-09323-z
