Predicting amyloid risk by machine learning algorithms based on the A4 screen data: Application to the Japanese Trial-Ready Cohort study.

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作者： Kenichiro,Sato ^[1] ; Ryoko,Ihara ^[2] ; Kazushi,Suzuki ^[3] ; Yoshiki,Niimi ^[3] ; Tatsushi,Toda ^[3] ; Gustavo,Jimenez-Maggiora ^[1] ; Oliver,Langford ^[4] ; Michael C,Donohue ^[4] ; Rema,Raman ^[4] ; Paul S,Aisen ^[4] ; Reisa A,Sperling ^[4] ; Atsushi,Iwata ^[5] ; Takeshi,Iwatsubo ^[1]

作者单位： Department of Neurology Graduate School of Medicine The University of Tokyo Tokyo Japan. ^[1] Department of Neuropathology Graduate School of Medicine The University of Tokyo Tokyo Japan. ^[2] Unit for Early and Exploratory Clinical Development The University of Tokyo Hospital Tokyo Japan. ^[3] Alzheimer's Therapeutic Research Institute University of Southern California San Diego California USA. ^[4] Brigham and Women's Hospital Boston Massachusetts USA. ^[5] Department of Neurology Tokyo Metropolitan Geriatric Medical Center Hospital Tokyo Japan. ^[6]

关键词 J‐TRC Trial‐Ready Cohort machine learning online recruitment preclinical Alzheimer's disease webstudy

DOI 10.1002/trc2.12135

PMID 33778148

发布时间 2024-03-31

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Alzheimer's & dementia (New York, N. Y.)

2021年7卷1期

e12135页

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Predicting amyloid risk by machine learning algorithms based on the A4 screen data: Application to the Japanese Trial-Ready Cohort study.

Alzheimer's & dementia (New York, N. Y.)

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Alzheimer's & dementia (New York, N. Y.)

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Predicting amyloid risk by machine learning algorithms based on the A4 screen data: Application to the Japanese Trial-Ready Cohort study.

Alzheimer's & dementia (New York, N. Y.)

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Alzheimer's & dementia (New York, N. Y.)

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