A Comparative Machine Learning Study Identifies Light Gradient Boosting Machine (LightGBM) as the Optimal Model for Unveiling the Environmental Drivers of Yellowfin Tuna (<i>Thunnus albacares</i>) Distribution Using SHapley Additive exPlanations (SHAP) Analysis. [PDF]
Biology (Basel)Yang L, Zhou W, Zhang C, Tang F.
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Development and validation of a machine learning model for predicting hypersplenism in Wilson disease patients. [PDF]
Front Med (Lausanne)Xuan Q +6 more
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A consideration of the trends in thyroid fine-needle aspiration cytology - Results from the Italian Cytopathology Committee National Practice Survey in Thyroidology. [PDF]
PathologicaSengul I, Sengul D.
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Development and validation of a nomogram for assessing depression risk in middle-aged and elderly adults with activities of daily living dysfunction: A cross-sectional study based on CHARLS data. [PDF]
Sci ProgPeng T, Miao R, Zeng W.
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Benchmarking and optimizing microbiome-based bioinformatics workflow for non-invasive detection of intestinal tumors. [PDF]
Microbiome Res RepSun Y +5 more
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Quantitative color fundus photography parameters as potential biomarkers of axial length progression: evidence from a machine learning cohort study. [PDF]
Front Cell Dev BiolWang Z +8 more
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An Application of Polyhedral Relaxations to Optimal Contribution Selection of Tree Breeding Problem (Development of Mathematical Optimization : Modeling and Algorithms)openaire