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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...
Autores principales: | Cai, Jiaxin, Hu, Weiwei, Ma, Jiaojiao, Si, Aima, Chen, Shiyu, Gong, Lingmin, Zhang, Yong, Yan, Hong, Chen, Fangyao |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
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 |
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