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Using Machine Learning to Predict Dementia from Neuropsychiatric Symptom and Neuroimaging Data
BACKGROUND: Machine learning (ML) is a promising technique for patient-specific prediction of mild cognitive impairment (MCI) and dementia development. Neuropsychiatric symptoms (NPS) might improve the accuracy of ML models but have barely been used for this purpose. OBJECTIVES: To investigate if ba...
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| Gepubliceerd in: | J Alzheimers Dis |
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| Hoofdauteurs: | , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
IOS Press
2020
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7306896/ https://ncbi.nlm.nih.gov/pubmed/32250302 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3233/JAD-191169 |
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