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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Detalles Bibliográficos
Autores principales: Gupta, Abhay, Kahali, Bratati
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Research Articles
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

Internet

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

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