Language patterns in Japanese patients with Alzheimer disease: A machine learning approach-Reference-Cited by-同舟云学术

Language patterns in Japanese patients with Alzheimer disease: A machine learning approach

Published:2023-02-08 Issue:5 Volume:77 Page:273-281
ISSN:1323-1316
Container-title:Psychiatry and Clinical Neurosciences
language:en
Short-container-title:Psychiatry Clin Neurosci

Author:

Momota Yuki¹,Liang Kuo‐ching¹,Horigome Toshiro¹,Kitazawa Momoko¹,Eguchi Yoko¹²,Takamiya Akihiro¹³,Goto Akiko⁴,Mimura Masaru¹^ORCID,Kishimoto Taishiro¹⁵^ORCID

Affiliation:

1. Department of Neuropsychiatry Keio University School of Medicine Tokyo Japan

2. Benesse Institute for Research on Continuing Care, Benesse Style Care Co., Ltd. Tokyo Japan

3. Neuropsychiatry, Department of Neurosciences Leuven Brain Institute KU Leuven Belgium

4. Tsurugaoka Garden Hospital Tokyo Japan

5. Psychiatry Department Donald and Barbara Zucker School of Medicine New York New York USA

Funder

Japan Agency for Medical Research and Development

Publisher

Wiley

Subject

Psychiatry and Mental health,Neurology (clinical),Neurology,General Medicine,General Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/pcn.13526

Reference102 articles.

1. Testing the 2018 NIA-AA research framework in a retrospective large cohort of patients with cognitive impairment: from biological biomarkers to clinical syndromes

2. Incidence and survival of dementia in a general population of Japanese elderly: the Hisayama study

3. Amyloid PET Screening for Enrichment of Early-Stage Alzheimer Disease Clinical Trials

4. Alzheimer's Disease Neuroimaging Initiative (ADNI): Clinical characterization

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