An Optimized Decision Tree with Genetic Algorithm Rule-Based Approach to Reveal the Brain's Changes During Alzheimer's Disease Dementia.

Journal: Journal of Alzheimer's disease : JAD

Published Date: Jan 1, 2021

Abstract

BACKGROUND: It is desirable to achieve acceptable accuracy for computer aided diagnosis system (CADS) to disclose the dementia-related consequences on the brain. Therefore, assessing and measuring these impacts is fundamental in the diagnosis of dementia.

Authors

Vania Karami

Department of Pharmaceutical Sciences and Health Products, University of Camerino, Camerino, Italy.
Giulio Nittari

School of Pharmaceutical Sciences and Health Products, University of Camerino, Camerino (MC), Italy.
Enea Traini

School of Pharmaceutical Sciences and Health Products, University of Camerino, Camerino (MC), Italy.
Francesco Amenta

Telemedicine and Telepharmacy Centre, University of Camerino, Camerino, Italy Department, International Radiomedical Centre (CIRM), Rome, Italy. francesco.amenta@unicam.it.

Keywords

Aged Algorithms Alzheimer Disease Brain Cognitive Dysfunction Decision Trees Deep Learning Diagnosis, Computer-Assisted Disease Progression Female Humans Magnetic Resonance Imaging Male

External Resources

View on PubMed Access via DOI PubMed (34719494)

An Optimized Decision Tree with Genetic Algorithm Rule-Based Approach to Reveal the Brain's Changes During Alzheimer's Disease Dementia.

Abstract

Authors

Keywords

External Resources

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