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Development and validation of an explainable machine learning model for predicting osteoporosis in patients with type 2 diabetes mellitus
Published 2025-08-01“…Eight supervised ML algorithms were applied to construct predictive models. Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), calibration plots, decision curve analysis (DCA), accuracy, sensitivity, specificity, and F1 score. …”
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The PIEE Cycle: A Structured Framework for Red Teaming Large Language Models in Clinical Decision-Making
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Pedagogical well-being of teachers in different modalities: Input to HyFlex pedagogical wellness model
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The Method of Predicting the Rise of Temperature by Combining Fuzzy System and Recursive Least Square
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A nomogram for predicting small bowel mucosal healing in pediatric Crohn’s disease
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Predicting Wheat Potential Yield in China Based on Eco-Evolutionary Optimality Principles
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Application of Machine Learning for Bulbous Bow Optimization Design and Ship Resistance Prediction
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Risk prediction of mechanical complications in acute myocardial infarction patients with prior malignancy
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Prediction of total phosphorus in wastewater treatment plant effluent based on deep learning
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Prediction and Stage Classification of Pressure Ulcers in Intensive Care Patients by Machine Learning
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Prediction of insulin resistance using multiple adaptive regression spline in Chinese women
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Prediction of Mortality in ICU Patients with SARS-CoV-2-Associated Pneumonia
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EMI Prediction on Ripple Effect of Voltage-Controlled Ramp Waveform via ARIMA-MLR Hybrid Model
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