Machine learning and physical based modeling for cardiac hypertrophy

BACKGROUND AND OBJECTIVE: Predicting the long-term expansion and remodeling of the left ventricle in patients is challenging task but it has the potential to be clinically very useful. METHODS: In our study, we present machine learning models based on random forests, gradient boosting, and neural ne...

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Detalles Bibliográficos
Autores principales: Milićević, Bogdan, Milošević, Miljan, Simić, Vladimir, Preveden, Andrej, Velicki, Lazar, Jakovljević, Đorđe, Bosnić, Zoran, Pičulin, Matej, Žunkovič, Bojan, Kojić, Miloš, Filipović, Nenad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258386/
https://www.ncbi.nlm.nih.gov/pubmed/37313176
http://dx.doi.org/10.1016/j.heliyon.2023.e16724

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258386/
https://www.ncbi.nlm.nih.gov/pubmed/37313176
http://dx.doi.org/10.1016/j.heliyon.2023.e16724

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