Cargando…
Explainable prediction of daily hospitalizations for cerebrovascular disease using stacked ensemble learning
BACKGROUND: With the prevalence of cerebrovascular disease (CD) and the increasing strain on healthcare resources, forecasting the healthcare demands of cerebrovascular patients has significant implications for optimizing medical resources. METHODS: In this study, a stacking ensemble model comprised...
Autores principales: | Lu, Xiaoya, Qiu, Hang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080841/ https://www.ncbi.nlm.nih.gov/pubmed/37024922 http://dx.doi.org/10.1186/s12911-023-02159-7 |
Ejemplares similares
-
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning
por: Zhou, Dejia, et al.
Publicado: (2023) -
A Stacking Ensemble Learning Framework for Genomic Prediction
por: Liang, Mang, et al.
Publicado: (2021) -
StackBRAF: A Large-Scale Stacking Ensemble Learning
for BRAF Affinity Prediction
por: Syahid, Nur Fadhilah, et al.
Publicado: (2023) -
An R package for ensemble learning stacking
por: Nukui, Taichi, et al.
Publicado: (2023) -
Link Prediction in Complex Networks Using Recursive Feature Elimination and Stacking Ensemble Learning
por: Wang, Tao, et al.
Publicado: (2022)