Hybridizing machine learning in survival analysis of cardiac PET/CT imaging

BACKGROUND: Machine Learning (ML) allows integration of the numerous variables delivered by cardiac PET/CT, while traditional survival analysis can provide explainable prognostic estimates from a restricted number of input variables. We implemented a hybrid ML-and-survival analysis of multimodal PET...

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Detalles Bibliográficos
Autores principales: Juarez-Orozco, Luis Eduardo, Niemi, Mikael, Yeung, Ming Wai, Benjamins, Jan Walter, Maaniitty, Teemu, Teuho, Jarmo, Saraste, Antti, Knuuti, Juhani, van der Harst, Pim, Klén, Riku
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682215/
https://www.ncbi.nlm.nih.gov/pubmed/37656345
http://dx.doi.org/10.1007/s12350-023-03359-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682215/
https://www.ncbi.nlm.nih.gov/pubmed/37656345
http://dx.doi.org/10.1007/s12350-023-03359-4

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