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...

Cijeli opis

Spremljeno u:
Bibliografski detalji
Izdano u:Circ Cardiovasc Qual Outcomes
Glavni autori: Mortazavi, Bobak J., Downing, Nicholas S., Bucholz, Emily M., Dharmarajan, Kumar, Manhapra, Ajay, Li, Shu-Xia, Negahban, Sahand N., Krumholz, Harlan M.
Format: Artigo
Jezik:Inglês
Izdano: 2016
Teme:
Article
Online pristup: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
Oznake: Dodaj oznaku
Bez oznaka, Budi prvi tko označuje ovaj zapis!

Similar Items