Prediction of Neurodevelopmental Outcomes in Very Preterm Infants: Comparing Machine Learning Methods to Logistic Regression by Jehier Afifi, Tahani Ahmad, Alessandro Guida, Michael John Vincer, Samuel Alan Stewart

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Prediction of Multisite Pain Incidence in Adolescence Using a Machine Learning Approach: A 2‐Year Longitudinal Study by Laura Joensuu, Ilkka Rautiainen, Arto J. Hautala, Kirsti Siekkinen, Katariina Pirnes, Tuija H. Tammelin

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Predictive Value of Machine Learning Models for Cerebral Edema Risk in Stroke Patients: A Meta‐Analysis by Qi Deng, Yu Yang, Hongyu Bai, Fei Li, Wenluo Zhang, Rong He, Yuming Li

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Sex-modulated association between thyroid stimulating hormone and informant-perceived anxiety in non-depressed older adults: Prediction models and relevant cutoff value by Asma Hallab

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Predictive Modeling of Heart Rate from Respiratory Signals at Rest in Young Healthy Humans by Carlos M. Gómez, Vanesa Muñoz, Manuel Muñoz-Caracuel

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Prediction of prolonged mechanical ventilation in the intensive care unit via machine learning: a COVID-19 perspective by Marianna Weaver, Dylan A. Goodin, Hunter A. Miller, Dipan Karmali, Apurv A. Agarwal, Hermann B. Frieboes, Sally A. Suliman

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Predicting regional tau accumulation with machine learning‐based tau‐PET and advanced radiomics by Saima Rathore, Ixavier A. Higgins, Jian Wang, Ian A. Kennedy, Leonardo Iaccarino, Samantha C. Burnham, Michael J. Pontecorvo, Sergey Shcherbinin

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Development and evaluation of predictive models for pregnancy risk in UK dairy cows by Matthew Barden, Robert Hyde, Martin Green, Andrew Bradley, Edna Can, Rachel Clifton, Katharine Lewis, Al Manning, Luke O'Grady

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Enhanced clash detection in building information modeling: Leveraging modified extreme gradient boosting for predictive analytics by Ali Shehadeh, Odey Alshboul, Madhar M. Taamneh, Aiman Q. Jaradat, Ahmad H. Alomari

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Electrical impedance spectroscopy for non-destructive meat freshness assessment by Shiqian Wang, Ziye Zhang, Xinyao Zhao, Xinqing Xiao

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Optimizing Femtosecond Texturing Process Parameters Through Advanced Machine Learning Models in Tribological Applications by Yassmin Seid Ahmed

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A Predictive Analysis of Beach Susceptibility to Jellyfish Arrivals in Costa del Sol by Ana de la Fuente Roselló, María Jesús Perles Roselló, Francisco José Cantarero Prados

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The effect of resampling techniques on the performances of machine learning clinical risk prediction models in the setting of severe class imbalance: development and internal valid... by Janny Xue Chen Ke, Arunachalam DhakshinaMurthy, Ronald B. George, Paula Branco

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An Algorithmic Trading Approach Merging Machine Learning With Multi-Indicator Strategies for Optimal Performance by Narongsak Sukma, Chakkrit Snae Namahoot

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Predicting hotel booking cancellations to decrease uncertainty and increase revenue by Nuno Antonio, Ana de Almeida, Luis Nunes

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Current and future climate suitability for the hazel dormouse in the UK and the impact on reintroduced populations by Emma L. Cartledge, Joe Bellis, Ian White, Jane L. Hurst, Paula Stockley, Sarah Dalrymple

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Artificial intelligence-driven predictive framework for early detection of still birth by Sarah A. Alzakari, Asma Aldrees, Muhammad Umer, Lucia Cascone, Nisreen Innab, Imran Ashraf

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Modeling accumulated degree-days for the invasive aquatic plant Oxycaryum cubense in the southeastern United States by Allison C. Squires, Gray Turnage, Ryan M. Wersal, Christopher R. Mudge, Benjamin P. Sperry

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Quantifying 3D coral reef structural complexity from 2D drone imagery using artificial intelligence by Aviv Suan, Simone Franceschini, Joushua Madin, Elizabeth Madin

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Integrating machine learning and data analysis for predictive microbial community profiling by Sagyndykova Sofiya Zulcharnaevna, Kuspangaliyeva Khansulu, Sekerova Tolganai, Saimova Rita, Bekenova Nazym, Kamiyeva Gulzhanat, Yessimov Bolat, Zhanna Adamzhanova

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