Researchers propose Disease Continuum Positioning (DCP), a longitudinal Bayesian Learning framework that estimates Alzheimer's disease severity continuously from diffusion tensor imaging, outperformin…
A new AI model developed using data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) aims to detect Alzheimer's disease early by handling class imbalance and refining feature selection. The…
An arXiv preprint (arXiv:2606.03995) reports an explainable machine learning model that achieved near-perfect three-class classification of Alzheimer's disease, mild cognitive impairment, and normal c…
Researchers developed an XGBoost machine learning model using eight routine clinical features from the Alzheimer's Disease Neuroimaging Initiative dataset that achieved 94.3% accuracy and a 0.982 macr…