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A cardiologist’s guide to machine learning in cardiovascular disease prognosis prediction

A modern-day physician is faced with a vast abundance of clinical and scientific data, by far surpassing the capabilities of the human mind. Until the last decade, advances in data availability have not been accompanied by analytical approaches. The advent of machine learning (ML) algorithms might i...

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Detalles Bibliográficos
Autores principales: Kresoja, Karl-Patrik, Unterhuber, Matthias, Wachter, Rolf, Thiele, Holger, Lurz, Philipp
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10027799/
https://www.ncbi.nlm.nih.gov/pubmed/36939941
http://dx.doi.org/10.1007/s00395-023-00982-7