A high-generalizability machine learning framework for predicting the progression of Alzheimer’s disease using limited data

A high-generalizability machine learning framework for predicting the progression of Alzheimer’s disease using limited data

Abstract Alzheimer’s disease is a neurodegenerative disease that imposes a substantial financial burden on society. A number of machine learning studies have been conducted to predict the speed of its progression, which varies widely among different individuals, for recruiting fast progressors in fu...

Full description

Bibliographic Details
Main Authors: Caihua Wang, Yuanzhong Li, Yukihiro Tsuboshita, Takuya Sakurai, Tsubasa Goto, Hiroyuki Yamaguchi, Yuichi Yamashita, Atsushi Sekiguchi, Hisateru Tachimori, for the Alzheimer’s Disease Neuroimaging Initiative
Format: Article
Language:English
Published: Nature Portfolio 2022-04-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-022-00577-x

Internet

https://doi.org/10.1038/s41746-022-00577-x

Similar Items