Modeling multi-stage disease progression and identifying genetic risk factors via a novel collaborative learning method

Alzheimer's disease (AD) typically progresses gradually for ages rather than suddenly. Thus, staging AD progression in different phases could aid in accurate diagnosis and treatment. In addition, identifying genetic variations that influence AD is critical to understanding the pathogenesis. How...

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Veröffentlicht in:	Bioinformatics (Oxford, England) England), 2024-12, Vol.41 (1)
Hauptverfasser:	Xi, Duo, Zhang, Minjianan, Shang, Muheng, Du, Lei, Han, Junwei
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Alzheimer Disease - diagnostic imaging Alzheimer Disease - genetics Disease Progression Genetic Predisposition to Disease Genome-Wide Association Study - methods Humans Machine Learning Neuroimaging - methods Risk Factors
Online-Zugang:	Volltext
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