Construction of a risk prediction model for Alzheimer's disease in the elderly population.

ABSTRACT:

Background

Dementia is one of the greatest global health and social care challenges of the twenty-first century. The etiology and pathogenesis of Alzheimer's disease (AD) as the most common type of dementia remain unknown. In this study, a simple nomogram was drawn to predict the risk of AD in the elderly population.

Methods

Nine variables affecting the risk of AD were obtained from 1099 elderly people through clinical data and questionnaires. Least Absolute Shrinkage Selection Operator (LASSO) regression analysis was used to select the best predictor variables, and multivariate logistic regression analysis was used to construct the prediction model. In this study, a graphic tool including 9 predictor variables (nomogram-see precise definition in the text) was drawn to predi

SUBMITTER: Wang L 

PROVIDER: S-EPMC8262052 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature