A Stacking Ensemble Model to Predict Daily Number of Hospital Admissions for Cardiovascular Diseases

A Stacking Ensemble Model to Predict Daily Number of Hospital Admissions for Cardiovascular Diseases

With lifestyle and environmental changes, the prevalence of cardiovascular diseases (CVDs) is trending upwards, putting pressure on the limited medical resources. Accurate forecasting of daily counts of hospital admissions (HAs) for CVDs is helpful to optimize medical resources. In this study, we pr...

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Bibliographic Details
Main Authors: Zhixu Hu, Hang Qiu, Ziqi Su, Minghui Shen, Ziyu Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Cardiovascular diseases
hospital admissions
machine learning
stacking ensemble model
sequential forward floating selection
direct prediction strategy
Online Access:https://ieeexplore.ieee.org/document/9149874/

Internet

https://ieeexplore.ieee.org/document/9149874/

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