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Machine learning‐based cognitive impairment classification with optimal combination of neuropsychological tests
INTRODUCTION: An extensive battery of neuropsychological tests is currently used to classify individuals as healthy (HV), mild cognitively impaired (MCI), and with Alzheimer's disease (AD). We used machine learning models for effective cognitive impairment classification and optimized the numbe...
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| Pubblicato in: | Alzheimers Dement (N Y) |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
John Wiley and Sons Inc.
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7369403/ https://ncbi.nlm.nih.gov/pubmed/32699817 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/trc2.12049 |
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