Prediction of incident cardiovascular events using machine learning and CMR radiomics

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 B...

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Detalles Bibliográficos
Autores principales: 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., Lekadir, Karim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121487/
https://www.ncbi.nlm.nih.gov/pubmed/36512045
http://dx.doi.org/10.1007/s00330-022-09323-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121487/
https://www.ncbi.nlm.nih.gov/pubmed/36512045
http://dx.doi.org/10.1007/s00330-022-09323-z

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