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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7369403/ https://www.ncbi.nlm.nih.gov/pubmed/32699817 http://dx.doi.org/10.1002/trc2.12049 |