Predicting the Progression of Mild Cognitive Impairment to Alzheimer’s Dementia Using Recurrent Neural Networks With a Series of Neuropsychological Tests-Reference-Cited by-同舟云学术

Predicting the Progression of Mild Cognitive Impairment to Alzheimer’s Dementia Using Recurrent Neural Networks With a Series of Neuropsychological Tests

Published:2024 Issue:5 Volume:20 Page:478
ISSN:1738-6586
Container-title:Journal of Clinical Neurology
language:en
Short-container-title:J Clin Neurol

Author:

Park Chaeyoon¹^ORCID,Joo Gihun²^ORCID,Roh Minji²^ORCID,Shin Seunghun²^ORCID,Yum Sujin²³^ORCID,Yeo Na Young²³^ORCID,Park Sang Won³⁴^ORCID,Jang Jae-Won²³⁴⁵^ORCID,Im Hyeonseung¹²⁵⁶^ORCID,

Affiliation:

1. Graduate School of Data Science, Kangwon National University, Chuncheon, Korea.

2. Interdisciplinary Graduate Program in Medical Bigdata Convergence, Kangwon National University, Chuncheon, Korea.

3. Department of Neurology, Kangwon National University Hospital, Chuncheon, Korea.

4. Department of Medical Informatics, School of Medicine, Kangwon National University, Chuncheon, Korea.

5. Department of Convergence Security, Kangwon National University, Chuncheon, Korea.

6. Department of Computer Science and Engineering, Kangwon National University, Chuncheon, Korea.

Funder

National Research Foundation of Korea

Institute for Information and Communications Technology Promotion

Publisher

XMLink

Link

https://thejcn.com/pdf/10.3988/jcn.2023.0289

Reference33 articles.

1. Staging of Alzheimer’s disease: past, present, and future perspectives

2. Dementia Update 2005

3. Bidirectional relationship between caregiver burden and neuropsychiatric symptoms in patients with Alzheimer's disease: A narrative review

4. Alzheimer's disease: Recent treatment strategies

5. Reasons for Failed Trials of Disease-Modifying Treatments for Alzheimer Disease and Their Contribution in Recent Research