Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning

Research article (Frontiers in Neuroinformatics, 2024) · cited 22× · AI/ML
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Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning

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Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/identifying-discriminative-features-of-brain-network-for-prediction-of-alzheimers-disease-using-graph-theory-and-machine
MLA “Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identifying-discriminative-features-of-brain-network-for-prediction-of-alzheimers-disease-using-graph-theory-and-machine.
BibTeX @misc{4ortxyz_identifying-discriminative-features-of-brain-network-for-prediction-of-alzheimers-disease-using-graph-theory-and-machine_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning}}, year = {2026}, url = {https://4ort.xyz/entity/identifying-discriminative-features-of-brain-network-for-prediction-of-alzheimers-disease-using-graph-theory-and-machine}, note = {Accessed: 2026-05-24}}
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