Predicting depression in patients with heart failure based on a stacking model
Hui Jiang,
Rui Hu,
Yu-Jie Wang
et al.
Abstract:BACKGROUND
There is a lack of literature discussing the utilization of the stacking ensemble algorithm for predicting depression in patients with heart failure (HF).
AIM
To create a stacking model for predicting depression in patients with HF.
METHODS
This study analyzed data on 1084 HF patients from the National Health and Nutrition Examination Survey database spanning from 2005 to 2018. Through univariate analysis and the use of an artificial neural network a… Show more
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