A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual-Reference-Cited by-同舟云学术

A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual

Published:2019-09 Issue: Volume:130 Page:157-171
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Bucholc Magda^ORCID,Ding Xuemei,Wang Haiying,Glass David H.^ORCID,Wang Hui^ORCID,Prasad Girijesh^ORCID,Maguire Liam P.,Bjourson Anthony J.,McClean Paula L.,Todd Stephen,Finn David P.,Wong-Lin KongFatt

Funder

Alzheimer's Disease Neuroimaging Initiative

National Institutes of Health

National Institute on Aging

National Institute of Biomedical Imaging and Bioengineering

AbbVie

Innovate UK

Ulster University

European Cooperation in Science and Technology

European Commission

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

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4. The PredictAD project: Development of novel biomarkers and analysis software for early diagnosis of the Alzheimer's disease;Antila;Interface Focus,2013

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