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policy optimization » topology optimization (Expand Search), wolf optimization (Expand Search), process optimization (Expand Search)
cohort optimization » codon optimization (Expand Search), cost optimization (Expand Search), joint optimization (Expand Search)
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basic policy » ai policy (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
policy optimization » topology optimization (Expand Search), wolf optimization (Expand Search), process optimization (Expand Search)
cohort optimization » codon optimization (Expand Search), cost optimization (Expand Search), joint optimization (Expand Search)
binary basic » binary mask (Expand Search)
basic policy » ai policy (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
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Psoas muscle CT radiomics-based machine learning models to predict response to infliximab in patients with Crohn’s disease
Published 2025“…<i>Z</i> score standardization and independent sample <i>t</i> test were applied to identify optimal predictive features, which were then utilized in seven ML algorithms for training and validation. …”
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DataSheet_1_Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images.docx
Published 2024“…Logistic regression emerged as the optimal machine learning algorithm for both DLR models. …”
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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. …”