Prediction of long-term hospitalisation and all-cause mortality in patients with chronic heart failure on Dutch claims data: a machine learning approach

BACKGROUND: Accurately predicting which patients with chronic heart failure (CHF) are particularly vulnerable for adverse outcomes is of crucial importance to support clinical decision making. The goal of the current study was to examine the predictive value on long term heart failure (HF) hospitali...

Descripción completa

Detalles Bibliográficos
Autores principales: van der Galiën, Onno P., Hoekstra, René C., Gürgöze, Muhammed T., Manintveld, Olivier C., van den Bunt, Mark R., Veenman, Cor J., Boersma, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8561992/
https://www.ncbi.nlm.nih.gov/pubmed/34724933
http://dx.doi.org/10.1186/s12911-021-01657-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8561992/
https://www.ncbi.nlm.nih.gov/pubmed/34724933
http://dx.doi.org/10.1186/s12911-021-01657-w

Ejemplares similares