Evaluation of Machine Learning Techniques for Classifying and Balancing Data on an Unbalanced Mini-Mental State Examination Test Data Collection Applied in Chile

Evaluation of Machine Learning Techniques for Classifying and Balancing Data on an Unbalanced Mini-Mental State Examination Test Data Collection Applied in Chile

The Mini-Mental State Examination (MMSE) is the most widely used cognitive test for assessing whether suspected symptoms align with cognitive impairment or dementia. The results of this test are meaningful for clinicians but exhibit highly unbalanced distributions in studies and analyses regarding t...

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Bibliographic Details
Main Authors: Pablo Ormeno, Gaston Marquez, Carla Taramasco
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Mini-mental state exam
machine learning
imbalanced data
Online Access:https://ieeexplore.ieee.org/document/10487950/

Internet

https://ieeexplore.ieee.org/document/10487950/

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