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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 30 / No. 1: Thirtieth AAAI Conference On Artificial Intelligence

Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer’s Disease

March 8, 2023

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Authors

Peng Dai

University of Western Ontario


Femida Gwadry-Sridhar

University of Western Ontario


Michael Bauer

University of Western Ontario


Michael Borrie

University of Western Ontario


DOI:

10.1609/aaai.v30i1.9915


Abstract:

Alzheimer's disease (AD) is a chronic neurodegenerative disease, which involves the degeneration of various brain functions, resulting in memory loss, cognitive disorder and death. Large amounts of multivariate heterogeneous medical test data are available for the analysis of brain deterioration. How to measure the deterioration remains a challenging problem. In this study, we first investigate how different regions of the human brain change as the patient develops AD. Correlation analysis and feature ranking are performed based on the feature vectors from different stages of the pathologic process in Alzheimer disease. Then, an automatic diagnosis system is presented, which is based on a hybrid manifold learning for feature embedding and the bootstrap aggregating (Bagging) algorithm for classification.We investigate two different tasks, i.e. diagnosis and progression prediction. Extensive comparison is made against Support Vector Machines (SVM), Random Forest (RF), Decision Tree (DT) and Random Subspace (RS) methods. Experimental results show that our proposed algorithm yields superior results when compared to the other methods, suggesting promising robustness for possible clinical applications.

Topics: AAAI

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HOW TO CITE:

Peng Dai|| Femida Gwadry-Sridhar|| Michael Bauer|| Michael Borrie Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer’s Disease Proceedings of the AAAI Conference on Artificial Intelligence, 30 (2016) .

Peng Dai|| Femida Gwadry-Sridhar|| Michael Bauer|| Michael Borrie Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer’s Disease AAAI 2016, .

Peng Dai|| Femida Gwadry-Sridhar|| Michael Bauer|| Michael Borrie (2016). Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer’s Disease. Proceedings of the AAAI Conference on Artificial Intelligence, 30, .

Peng Dai|| Femida Gwadry-Sridhar|| Michael Bauer|| Michael Borrie. Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer’s Disease. Proceedings of the AAAI Conference on Artificial Intelligence, 30 2016 p..

Peng Dai|| Femida Gwadry-Sridhar|| Michael Bauer|| Michael Borrie. 2016. Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer’s Disease. "Proceedings of the AAAI Conference on Artificial Intelligence, 30". .

Peng Dai|| Femida Gwadry-Sridhar|| Michael Bauer|| Michael Borrie. (2016) "Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer’s Disease", Proceedings of the AAAI Conference on Artificial Intelligence, 30, p.

Peng Dai|| Femida Gwadry-Sridhar|| Michael Bauer|| Michael Borrie, "Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer’s Disease", AAAI, p., 2016.

Peng Dai|| Femida Gwadry-Sridhar|| Michael Bauer|| Michael Borrie. "Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer’s Disease". Proceedings of the AAAI Conference on Artificial Intelligence, 30, 2016, p..

Peng Dai|| Femida Gwadry-Sridhar|| Michael Bauer|| Michael Borrie. "Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer’s Disease". Proceedings of the AAAI Conference on Artificial Intelligence, 30, (2016): .

Peng Dai|| Femida Gwadry-Sridhar|| Michael Bauer|| Michael Borrie. Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer’s Disease. AAAI[Internet]. 2016[cited 2023]; .


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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