Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review

Author:

Ansart Manon,Epelbaum StéphaneORCID,Bassignana Giulia,Bône AlexandreORCID,Bottani Simona,Cattai Tiziana,Couronné Raphaël,Faouzi Johann,Koval Igor,Louis Maxime,Thibeau-Sutre Elina,Wen Junhao,Wild Adam,Burgos Ninon,Dormont DidierORCID,Colliot Olivier,Durrleman Stanley

Funder

Horizon 2020

Institut national de recherche en informatique et en automatique

Agence Nationale de la Recherche

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

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5. Multi-study validation of data-driven disease progression models to characterize evolution of biomarkers in Alzheimer’s disease;Archetti;NeuroImage,2019

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