Investigating predictors of progression from mild cognitive impairment to Alzheimer's disease based on different time intervals.

ABSTRACT:

Background

Mild cognitive impairment (MCI) is the early stage of AD, and about 10-12% of MCI patients will progress to AD every year. At present, there are no effective markers for the early diagnosis of whether MCI patients will progress to AD. This study aimed to develop machine learning-based models for predicting the progression from MCI to AD within 3 years, to assist in screening and prevention of high-risk populations.

Methods

Data were collected from the Alzheimer's Disease Neuroimaging Initiative, a representative sample of cognitive impairment population. Machine learning models were applied to predict the progression from MCI to AD, using demographic, neuropsychological test and MRI-related biomarkers. Data were divided into training (56%), validation (14%) and te

SUBMITTER: Wu Y 

PROVIDER: S-EPMC10518045 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature