Neuropsychological and electrophysiological measurements for diagnosis and prediction of dementia: a review on Machine Learning approach-Reference-Cited by-同舟云学术

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Neuropsychological and electrophysiological measurements for diagnosis and prediction of dementia: a review on Machine Learning approach

Published:2024-09 Issue: Volume:100 Page:102417
ISSN:1568-1637
Container-title:Ageing Research Reviews
language:en
Short-container-title:Ageing Research Reviews

Author:

Carrarini Claudia,Nardulli Cristina,Titti Laura,Iodice Francesco,Miraglia Francesca,Vecchio Fabrizio,Rossini Paolo Maria

Publisher

Elsevier BV

Reference84 articles.

1. EEG-Based Alzheimer’s disease recognition using robust-PCA and LSTM recurrent neural network;Alessandrini;Sens. (Basel),2022

2. A 5-min cognitive task with deep learning accurately detects early Alzheimer’s Disease;Almubark;Front. Aging Neurosci.,2020

3. American Psychiatric Association, 2013. Diagnostic and statistical manual of mental disorders: DSM-5TM, Fifth Edit. ed. Arlington, VA.

4. Evaluating the reliability of neurocognitive biomarkers of neurodegenerative diseases across countries: a machine learning approach;Bachli;Neuroimage,2020

5. Neuroleptic sensitivity in dementia with Lewy bodies and Alzheimer’s disease;Ballard;Lancet (Lond., Engl. ),1998

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automated brain segmentation and volumetry in dementia diagnostics: a narrative review with emphasis on FreeSurfer;Frontiers in Aging Neuroscience;2024-09-03

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