Converse or reverse? Machine-learning modeling for disease progression: A study based on Alzheimer’s disease continuum cohort

Introduction: Longitudinal trajectories from healthy aging to Mild Cognitive Impairment and Alzheimer’s Disease involve complex mechanisms. Methods: We evaluated five machine learning approaches (Random Forest, Support Vector Machines, Radial Basis Function Networks, Backpropagation Networks, Convol...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Yujing Huang, Hao Zhang, Buqing Ma, Zhe Yu, Shenyi Dai, Lu Cheng, Li Su, Gaoyi Yang, Qingguo Ma
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2026-02-01
Schriftenreihe:	NeuroImage
Schlagworte:	Machine learning Random Forest Healthy-MCI-AD continuum ADNI
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S1053811926000728
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