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Clinical characteristics, outcomes, and predictive modeling of patients diagnosed with immune checkpoint inhibitor therapy-related pneumonitis
Published 2025-05-01“…The grading of pneumonitis was defined in accordance with ASCO guidelines (Schneider et al. in J Clin Oncol 39(36):4073–4126, 2021. https://doi.org/10.1200/JCO.21.01440 ). Predictive modeling was performed using gradient boosting machine learning technology, XGBoost (Chen in 1(4):1, 2015), to conduct binary classification and model reverse engineering using Shapley statistics (Lundberg and Lee in Adv Neural Inf Process Syst 30, 2017). …”
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Predictive Modeling of Acute Respiratory Distress Syndrome Using Machine Learning: Systematic Review and Meta-Analysis
Published 2025-05-01“…While machine learning (ML) models are increasingly being used for ARDS prediction, there is a lack of consensus on the most effective model or methodology. …”
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Research on model predictive control strategy of three-level dual-active bridge DC-DC converter
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Enhancing Predictive Models in E-Commerce: A Comparative Study Using XGBoost Across Diverse Scenarios
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Risk factors and predictive modeling in a US population with sarcopenia: a propensity score cohort study
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Ship Path Following and Collision Avoidance Based on Vector Field Guidance Law and Model Predictive Control
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Implementation of Finite Control Set Model Predictive Control (FCS-MPC) for Five-Phase Induction Motors
Published 2025-07-01Get full text
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Time‐optimal finite control set model predictive control of non‐isolated DC–DC converters
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