Novel hybrid intelligence model for early Alzheimer's diagnosis utilizing multimodal biomarker fusion

Novel hybrid intelligence model for early Alzheimer's diagnosis utilizing multimodal biomarker fusion

One of the significant causes of dementia and a leading peril to global public health is Alzheimer's disease (AD), which calls for early and accurate diagnosis. The paper proposes a novel hybrid machine learning framework that integrates Gradient Boosting Machine (GBM) and Deep Neural Networks...

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Bibliographic Details
Main Authors: Shehu Mohammed, Neha Malhotra, Arun Singh, Awad M. Awadelkarim, Shakeel Ahmed, Saiprasad Potharaju
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Alzheimer's disease diagnosis
Hybrid machine learning model
Gradient boosting machines (GBM)
Deep neural networks (DNN)
Feature selection
Biomarker identification
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914825000565
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