XGBoost-SHAP-based interpretable diagnostic framework for alzheimer’s disease

BACKGROUND: Due to the class imbalance issue faced when Alzheimer’s disease (AD) develops from normal cognition (NC) to mild cognitive impairment (MCI), present clinical practice is met with challenges regarding the auxiliary diagnosis of AD using machine learning (ML). This leads to low diagnosis p...

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Detalles Bibliográficos
Autores principales: Yi, Fuliang, Yang, Hui, Chen, Durong, Qin, Yao, Han, Hongjuan, Cui, Jing, Bai, Wenlin, Ma, Yifei, Zhang, Rong, Yu, Hongmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369804/
https://www.ncbi.nlm.nih.gov/pubmed/37491248
http://dx.doi.org/10.1186/s12911-023-02238-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369804/
https://www.ncbi.nlm.nih.gov/pubmed/37491248
http://dx.doi.org/10.1186/s12911-023-02238-9

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