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Predicting Alzheimer’s Disease Conversion From Mild Cognitive Impairment Using an Extreme Learning Machine-Based Grading Method With Multimodal Data
Identifying patients with mild cognitive impairment (MCI) who are at high risk of progressing to Alzheimer’s disease (AD) is crucial for early treatment of AD. However, it is difficult to predict the cognitive states of patients. This study developed an extreme learning machine (ELM)-based grading m...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Front Aging Neurosci |
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| Κύριοι συγγραφείς: | , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Frontiers Media S.A.
2020
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7140986/ https://ncbi.nlm.nih.gov/pubmed/32296326 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnagi.2020.00077 |
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