Survival Analysis in Cognitively Normal Subjects and in Patients with Mild Cognitive Impairment Using a Proportional Hazards Model with Extreme Gradient Boosting Regression

• Published in: Journal of Alzheimer's disease Vol. 85; no. 2; p. 837
• Main Authors: Khajehpiri, Boshra, Moghaddam, Hamid Abrishami, Forouzanfar, Mohamad, Lashgari, Reza, Ramos-Cejudo, Jaime, Osorio, Ricardo S, Ardekani, Babak A
• Format: Journal Article
• Language: English
• Published: Netherlands 01.01.2022
• Subjects: Aged; Aged, 80 and over; Alzheimer Disease - diagnosis; Alzheimer Disease - epidemiology; Alzheimer Disease - genetics; Cognitive Dysfunction - diagnosis; Cognitive Dysfunction - epidemiology; Cognitive Dysfunction - genetics; Disease Progression; Female; Genetic Testing - methods; Humans; Magnetic Resonance Imaging; Male; Neuropsychological Tests; Prognosis; Proportional Hazards Models; Risk Assessment - methods; Survival Analysis; magnetic resonance imaging; Alzheimer’s disease; Xgboost; survival analysis; proportional hazards model; mild cognitive impairment; hippocampal atrophy; brain; machine learning

Evaluating the risk of Alzheimer's disease (AD) in cognitively normal (CN) and patients with mild cognitive impairment (MCI) is extremely important. While MCI-to-AD progression risk has been studied extensively, few studies estimate CN-to-MCI conversion risk. The Cox proportional hazards (PH),...