Comparison of Machine Learning Techniques for Prediction of Hospitalization in Heart Failure Patients

The present study aims to compare the performance of eight Machine Learning Techniques (MLTs) in the prediction of hospitalization among patients with heart failure, using data from the Gestione Integrata dello Scompenso Cardiaco (GISC) study. The GISC project is an ongoing study that takes place in...

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Detalles Bibliográficos
Autores principales: Lorenzoni, Giulia, Sabato, Stefano Santo, Lanera, Corrado, Bottigliengo, Daniele, Minto, Clara, Ocagli, Honoria, De Paolis, Paola, Gregori, Dario, Iliceto, Sabino, Pisanò, Franco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6780582/
https://www.ncbi.nlm.nih.gov/pubmed/31450546
http://dx.doi.org/10.3390/jcm8091298

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6780582/
https://www.ncbi.nlm.nih.gov/pubmed/31450546
http://dx.doi.org/10.3390/jcm8091298

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