Identification of mild cognitive impairment subtypes predicting conversion to Alzheimer’s disease using multimodal data-Reference-Cited by-同舟云学术

Identification of mild cognitive impairment subtypes predicting conversion to Alzheimer’s disease using multimodal data

Published:2022 Issue: Volume:20 Page:5296-5308
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Kikuchi Masataka,Kobayashi Kaori,Itoh Sakiko,Kasuga Kensaku,Miyashita Akinori,Ikeuchi Takeshi,Yumoto Eiji,Kosaka Yuki,Fushimi Yasuto,Takeda Toshihiro,Manabe Shirou,Hattori Satoshi,Nakaya Akihiro,Kamijo Kenichi,Matsumura Yasushi

Funder

Alzheimer's Disease Neuroimaging Initiative

Japan Agency for Medical Research and Development

Japan Science and Technology Corporation

Ministry of Education, Culture, Sports, Science and Technology

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

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5. Distilling heterogeneity of mild cognitive impairment in the national alzheimer coordinating center database using latent profile analysis;Blanken;JAMA Netw Open,2020

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