Prediction of long-term hospitalisation and all-cause mortality in patients with chronic heart failure on Dutch claims data: a machine learning approach
Abstract 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) h...
Guardado en:
Autores principales: | Onno P. van der Galiën, René C. Hoekstra, Muhammed T. Gürgöze, Olivier C. Manintveld, Mark R. van den Bunt, Cor J. Veenman, Eric Boersma |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
BMC
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/1bbfe8e8bf964465bb8bff38db791fe9 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Claims on Ready-to-Eat Cereals: Are Those With Claims Healthier?
por: María Parra-Murillo, et al.
Publicado: (2021) -
El seguro : causas y soluciones de los conflictos entre asegurados y aseguradores con ocasión del siniestro /
por: Palacios Sánchez, Fernando
Publicado: (2018) -
Claim Status Prediction for OSIPTEL Using Neural
por: Hugo David Calderon Vilca, et al.
Publicado: (2021) -
The claim orientation dissection in Iran and FIDIC consultant's contracts
por: Majid Parchami Jalal, et al.
Publicado: (2018) -
ACCESS TO JUSTICE AND SMALL CLAIMS COURTS: SUPPORTING LATIN AMERICAN CIVIL REFORMS THROUGH EMPIRICAL RESEARCH IN LOS ANGELES COUNTY, CALIFORNIA
por: Lillo,Ricardo
Publicado: (2016)