Development of a Predictive Model for Hepatitis B Virus (HBV) Status Using Gender and Serum Biomarkers by Stanley Obinna Ezeadichie, Joy E. Ikekpeazu, Amechi Uchenna Katchy, Mima Wariso, Chioma Cordelia Ugwu, Osah Martins Onwuka

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Clinical characteristics, outcomes, and predictive modeling of patients diagnosed with immune checkpoint inhibitor therapy-related pneumonitis by Antonious Hazim, Irene Riestra Guiance, Jacob Shreve, Gordon Ruan, Damian McGlothlin, Allison LeMahieu, Robert Haemmerle, Keith Mcconn, Richard C. Godby, Lisa Kottschade, Anna Schwecke, Casey Fazer-Posorske, Tobias Peikert, Eric Edell, Konstantinos Leventakos, Ashley Egan

“…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 by Jinxi Yang, Siyao Zeng, Shanpeng Cui, Junbo Zheng, Hongliang Wang

“…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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Predictive modeling of concentration-dependent viscosity behavior of monoclonal antibody solutions using artificial neural networks by Jonathan Schmitt, Abbas Razvi, Christoph Grapentin

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Class Balancing for Soil Data: Predictive Modeling Approach for Crop Recommendation Using Machine Learning Algorithms by Sapkal Kranti G., Kadam Avinash B.

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The InterModel Vigorish (IMV) as a flexible and portable approach for quantifying predictive accuracy with binary outcomes. by Benjamin W Domingue, Charles Rahal, Jessica Faul, Jeremy Freese, Klint Kanopka, Alexandros Rigos, Ben Stenhaug, Ajay Shanker Tripathi

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Energy Management Strategy for Hybrid Electric Vehicles Based on Adaptive Equivalent Ratio-Model Predictive Control by Farah Mahdi Ali, Nizar Hadi Abbas

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Research on model predictive control strategy of three-level dual-active bridge DC-DC converter by Junrui Wang, Lu Tan, Jin Li, Changjiang Ji

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Energy optimization induces predictive-coding properties in a multi-compartment spiking neural network model. by Mingfang Zhang, Raluca Chitic, Sander M Bohté

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A Model Predictive Control Strategy for improvement Performance in PV-Battery-Hydrogen DC Islanded Microgrid by Errakkas Khalid, Kissaoui Mohammed, Lajouad Rachid, El Magri Abdelmounime, Atifi Youness, Khayat Ahmed

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Predictive modeling of PMMA-based polymer composites reinforced with hydroxyapatite: a machine learning and FEM approach by Rohit Kumar Singh, Khyati Verma, G. C. Mohan Kumar

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Enhancing Predictive Models in E-Commerce: A Comparative Study Using XGBoost Across Diverse Scenarios by Zhang Jianhao

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Optimized Model Predictive Control-Based Path Planning for Multiple Wheeled Mobile Robots in Uncertain Environments by Yang She, Chao Song, Zetian Sun, Bo Li

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A Gray Predictive Evolutionary Algorithm with Adaptive Threshold Adjustment Strategy for Photovoltaic Model Parameter Estimation by Wencong Wang, Baoduo Su, Quan Zhou, Qinghua Su

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Risk factors and predictive modeling in a US population with sarcopenia: a propensity score cohort study by Yao Sun, Shuguang Yang, Zengli Xiao, Youzhong An, Huiying Zhao

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Ship Path Following and Collision Avoidance Based on Vector Field Guidance Law and Model Predictive Control by HE Yu, OUYANG Zilu, ZOU Lu, CHEN Weimin, ZOU Zaojian

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Implementation of Finite Control Set Model Predictive Control (FCS-MPC) for Five-Phase Induction Motors by Abdelfattah Hoggui, Ali Benachour, Mohamed Chafaa Madaoui, Mohand Oulhadj Mahmoudi

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Time‐optimal finite control set model predictive control of non‐isolated DC–DC converters by Thibaut Harzig, Brandon Grainger

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Evaluation of the effectiveness of an intervention strategy in a control simulation experiment through comparison with model predictive control by R. Nagai, Y. Bai, M. Ogura, M. Ogura, S. Kotsuki, S. Kotsuki, N. Wakamiya

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AI-Enabled Cognitive Predictive Maintenance of Urban Assets Using City Information Modeling—Systematic Review by Oluwatoyin O. Lawal, Nawari O. Nawari, Omobolaji Lawal

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