Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows-Reference-Cited by-同舟云学术

Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows

Published:2017-07-19 Issue:1 Volume:17 Page:
ISSN:1472-6947
Container-title:BMC Medical Informatics and Decision Making
language:en
Short-container-title:BMC Med Inform Decis Mak

Author:

Pereira Telma,Lemos Luís,Cardoso Sandra,Silva Dina,Rodrigues Ana,Santana Isabel,de Mendonça Alexandre,Guerreiro Manuela,Madeira Sara C.

Funder

Fundação para a Ciência e a Tecnologia

Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Health Policy,Computer Science Applications

Link

http://link.springer.com/content/pdf/10.1186/s12911-017-0497-2.pdf

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5. Bondi MW, Edmonds EC, Jak AJ, Clark LR, Delano-Wood L, McDonald CR, Nation DA, Libon DJ, Au R, Galasko D, Salmon DP. Neuropsychological criteria for mild cognitive impairment improves diagnostic precision, biomarker associations, and progression rates. J Alzheimers Dis. 2014;42(1):275–89.

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