Machine learning‐based cognitive impairment classification with optimal combination of neuropsychological tests
Abstract 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 t...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Alzheimer’s & Dementia: Translational Research & Clinical Interventions |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/trc2.12049 |