Using Background Knowledge from Preceding Studies for Building a Random Forest Prediction Model: A Plasmode Simulation Study

There is an increasing interest in machine learning (ML) algorithms for predicting patient outcomes, as these methods are designed to automatically discover complex data patterns. For example, the random forest (RF) algorithm is designed to identify relevant predictor variables out of a large set of...

Descripción completa

Detalles Bibliográficos
Autores principales: Hafermann, Lorena, Klein, Nadja, Rauch, Geraldine, Kammer, Michael, Heinze, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222226/
https://www.ncbi.nlm.nih.gov/pubmed/35741566
http://dx.doi.org/10.3390/e24060847

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222226/
https://www.ncbi.nlm.nih.gov/pubmed/35741566
http://dx.doi.org/10.3390/e24060847

Ejemplares similares