Evaluation of Machine Learning Techniques for Classifying and Balancing Data on an Unbalanced Mini-Mental State Examination Test Data Collection Applied in Chile-Reference-Cited by-同舟云学术

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

Published:2024 Issue: Volume:12 Page:49376-49386
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ormeño Pablo¹^ORCID,Márquez Gastón²^ORCID,Taramasco Carla³^ORCID

Affiliation:

1. Escuela de Ingeniería y Negocios, Universidad de Viña del Mar, Viña del Mar, Chile

2. Departamento de Ciencias de la Computación y Tecnologías de la Información, Universidad del Bío-Bío, Chillán, Chile

3. Instituto de Tecnología para la Innovación en Salud y Bienestar, Facultad de Ingeniería, Universidad Andrés Bello, Viña del Mar, Valparaíso, Chile

Funder

FONDECYT Regular

Project ANID Millennium Science Initiative Program Millennium Nucleus on Sociomedicine

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10487950.pdf?arnumber=10487950

Reference51 articles.

1. Alzheimer’s Disease, Mild Cognitive Impairment and Mediterranean Diet. A Systematic Review and Dose-Response Meta-Analysis

2. On the path to 2025: understanding the Alzheimer’s disease continuum

3. A screening method for mild cognitive impairment in elderly individuals combining bioimpedance and MMSE

4. Practice parameter: Early detection of dementia: Mild cognitive impairment (an evidence-based review) [RETIRED]

5. Exploring MMSE Score Prediction Using Verbal and Non-Verbal Cues

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