Can machine learning assist us in the classification of older patients suffering from dementia based on classic neuropsychological tests and a new financial capacity test performance?

These findings reveal the importance of focusing on these scales and tests in neuropsychological assessment protocols. Future research may clarify in other cultural settings if the same variables are of importance.

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Publication Details

Journal
Journal of Neuropsychology
Published
2024-12-18
DOI
https://doi.org/10.1111/jnp.12409
Citations
6
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
2.31
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article

Can machine learning assist us in the classification of older patients suffering from dementia based on classic neuropsychological tests and a new financial capacity test performance?

Stylianos Kampakis, Vaitsa Giannouli
6 citations
Journal of Neuropsychology
Dementia and Cognitive Impairment Research
2.31
article

Can machine learning assist us in the classification of older patients suffering from dementia based on classic neuropsychological tests and a new financial capacity test performance?

Stylianos Kampakis, Vaitsa Giannouli
article en
6 citations

Abstract

These findings reveal the importance of focusing on these scales and tests in neuropsychological assessment protocols. Future research may clarify in other cultural settings if the same variables are of importance.

Journal of NeuropsychologyVol. 19(3)
Hellenic Open University (GR), London Business School (GB), University of Western Macedonia (GR)
Peace, Justice and strong institutions
Openalex Percentile: Top 10%
Dementia and Cognitive Impairment Research
2.31
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Can machine learning assist us in the classification of older patients suffering from dementia based on classic neuropsychological tests and a new financial capacity test performance? — Stylianos Kampakis, Vaitsa Giannouli · Journal of Neuropsychology (2024) | TGRS Research Map | TGRS