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process optimization » model optimization (Expand Search)
cohort optimization » codon optimization (Expand Search), cost optimization (Expand Search), joint optimization (Expand Search)
binary damage » binary image (Expand Search), binary data (Expand Search)
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mask cohort » case cohort (Expand Search), based cohort (Expand Search), small cohort (Expand Search)
process optimization » model optimization (Expand Search)
cohort optimization » codon optimization (Expand Search), cost optimization (Expand Search), joint optimization (Expand Search)
binary damage » binary image (Expand Search), binary data (Expand Search)
binary mask » binary image (Expand Search)
mask cohort » case cohort (Expand Search), based cohort (Expand Search), small cohort (Expand Search)
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Data_Sheet_1_Alzheimer’s Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield...
Published 2022“…Finally, we implemented and compared the different feature selection algorithms to integrate the structural features, brain networks, and voxel features to optimize the diagnostic identifications of AD using support vector machine (SVM) classifiers. …”
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Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
Published 2025“…</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…”