Analysis of Machine Learning Techniques for Heart Failure Readmissions

BACKGROUND: The current ability to predict readmissions in patients with heart failure is modest at best. It is unclear whether machine learning (ML) techniques that address higher dimensional, non-linear relationships among variables would enhance prediction. We sought to compare the effectiveness...

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Publicat a:Circ Cardiovasc Qual Outcomes
Autors principals: Mortazavi, Bobak J., Downing, Nicholas S., Bucholz, Emily M., Dharmarajan, Kumar, Manhapra, Ajay, Li, Shu-Xia, Negahban, Sahand N., Krumholz, Harlan M.
Format: Artigo
Idioma:Inglês
Publicat: 2016
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Article
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC5459389/
https://ncbi.nlm.nih.gov/pubmed/28263938
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1161/CIRCOUTCOMES.116.003039
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