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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| 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 |