Comprehensive evaluation of machine learning models for predicting the cognitive status of Alzheimer's disease subjects and susceptible

Comprehensive evaluation of machine learning models for predicting the cognitive status of Alzheimer's disease subjects and susceptible

Abstract Alzheimer’s disease is one of the greatest public health challenge of our time. This requires strong predictive models to tease apart what we can do to detect and introduce early-prevention. In the same vain, machine learning models could be effective on the prediction of cognitive status o...

Full description

Saved in:
Bibliographic Details
Main Authors: Lucien Gnegne Meteumba, Vaghawan Prasad Ojha, Shantia Yarahmadian
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Discover Data
Subjects:
Alzheimer
AD
Machine learning
Transformers
Cognitive status prediction
Online Access:https://doi.org/10.1007/s44248-025-00068-w
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1007/s44248-025-00068-w

Similar Items