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Early Predictive Accuracy of Machine Learning for Hemorrhagic Transformation in Acute Ischemic Stroke: Systematic Review and Meta-Analysis
Published 2025-05-01“…Currently, there is no ideal tool for early prediction of HT risk. Recently, machine learning has gained traction in stroke management, prompting the exploration of predictive models for HT. …”
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EFR-Net: Enhanced Fracture Prediction in Osteoporosis with U-Net-Based Analysis
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Advanced Machine Learning Approaches for Predicting Machining Performance in Orthogonal Cutting Process
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Fully Data-Driven but Interpretable Human Behavioural Modelling With Differentiable Discrete Choice Model
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System Approach to the Combined Use of Large Language Models and Classical Models in Foresight Tasks
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Building a unified model for drug synergy analysis powered by large language models
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