Comparison of machine learning algorithms for predicting cognitive impairment using neuropsychological tests-Reference-Cited by-同舟云学术

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Comparison of machine learning algorithms for predicting cognitive impairment using neuropsychological tests

Published:2024-09-09 Issue: Volume: Page:1-12
ISSN:2327-9095
Container-title:Applied Neuropsychology: Adult
language:en
Short-container-title:Applied Neuropsychology: Adult

Author:

Simfukwe Chanda¹^ORCID,A. An Seong Soo¹^ORCID,Youn Young Chul²^ORCID

Affiliation:

1. Department of Bionano Technology, Gachon University, Seongnam-si, South Korea

2. Department of Neurology, College of Medicine, Chung-Ang University Seoul, Seoul, South Korea

Funder

National Research Foundation of Korea

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/23279095.2024.2392282

Reference39 articles.

1. Seoul Neuropsychological Screening Battery-Dementia Version (SNSB-D): A Useful Tool for Assessing and Monitoring Cognitive Impairments in Dementia Patients

2. American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th ed.).

3. Neuropsychological tests for predicting cognitive decline in older adults

4. Decision trees and random forests

5. Machine Learning Applied to Diagnosis of Human Diseases: A Systematic Review

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