Nomogram for predicting mild cognitive impairment in Chinese elder CSVD patients based on Boruta algorithm

Nomogram for predicting mild cognitive impairment in Chinese elder CSVD patients based on Boruta algorithm

BackgroundThe number of patients with cerebral small vessel disease is increasing, especially among the elderly population. With the continuous improvement of detection techniques, the positivity rate keeps increasing. Our goal is to develop a nomogram for early identification of PSCI and PSCID in s...

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Bibliographic Details
Main Authors: Yanzi Huang, Wendie Huang, Xiaoming Ma, Guoyin Zhao, Jingwen Kang, Huajie Li, Jingwei Li, Shiying Sheng, Fengjuan Qian
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Aging Neuroscience
Subjects:
MCI
CSVD
IGF-1
cognition
cognitive impairment
stroke
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2025.1431421/full
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