https://www.selleckchem.com/pr....oducts/mcc950-sodium
Machine learning is a promising tool for biomarker-based diagnosis of Alzheimer's disease (AD). Performing multimodal feature selection and studying the interaction between biological and clinical AD can help to improve the performance of the diagnosis models. This study aims to formulate a feature ranking metric based on the mutual information index to assess the relevance and redundancy of regional biomarkers and improve the AD classification accuracy. From the Alzheimer's Disease Neuroimaging Initiative (ADNI), 722 partici
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