A hybrid stacked ensemble and Kernel SHAP-based model for intelligent cardiotocography classification and interpretability

BACKGROUND: Intelligent cardiotocography (CTG) classification can assist obstetricians in evaluating fetal health. However, high classification performance is often achieved by complex machine learning (ML)-based models, which causes interpretability concerns. The trade-off between accuracy and inte...

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Detalles Bibliográficos
Autores principales: Feng, Junyuan, Liang, Jincheng, Qiang, Zihan, Hao, Yuexing, Li, Xia, Li, Li, Chen, Qinqun, Liu, Guiqing, Wei, Hang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685618/
https://www.ncbi.nlm.nih.gov/pubmed/38017460
http://dx.doi.org/10.1186/s12911-023-02378-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685618/
https://www.ncbi.nlm.nih.gov/pubmed/38017460
http://dx.doi.org/10.1186/s12911-023-02378-y

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