Explainable Machine Learning with Pairwise Interactions for Predicting Conversion from Mild Cognitive Impairment to Alzheimer’s Disease Utilizing Multi-Modalities Data

Background: Predicting cognition decline in patients with mild cognitive impairment (MCI) is crucial for identifying high-risk individuals and implementing effective management. To improve predicting MCI-to-AD conversion, it is necessary to consider various factors using explainable machine learning...

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Detalles Bibliográficos
Autores principales: Cai, Jiaxin, Hu, Weiwei, Ma, Jiaojiao, Si, Aima, Chen, Shiyu, Gong, Lingmin, Zhang, Yong, Yan, Hong, Chen, Fangyao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670176/
https://www.ncbi.nlm.nih.gov/pubmed/38002495
http://dx.doi.org/10.3390/brainsci13111535

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670176/
https://www.ncbi.nlm.nih.gov/pubmed/38002495
http://dx.doi.org/10.3390/brainsci13111535

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