A Machine Learning Approach for Chronic Heart Failure Diagnosis

The aim of this study was to address chronic heart failure (HF) diagnosis with the application of machine learning (ML) approaches. In the present study, we simulated the procedure that is followed in clinical practice, as the models we built are based on various combinations of feature categories,...

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Detalles Bibliográficos
Autores principales: Plati, Dafni K., Tripoliti, Evanthia E., Bechlioulis, Aris, Rammos, Aidonis, Dimou, Iliada, Lakkas, Lampros, Watson, Chris, McDonald, Ken, Ledwidge, Mark, Pharithi, Rebabonye, Gallagher, Joe, Michalis, Lampros K., Goletsis, Yorgos, Naka, Katerina K., Fotiadis, Dimitrios I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534549/
https://www.ncbi.nlm.nih.gov/pubmed/34679561
http://dx.doi.org/10.3390/diagnostics11101863

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534549/
https://www.ncbi.nlm.nih.gov/pubmed/34679561
http://dx.doi.org/10.3390/diagnostics11101863

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