Impact of Water Vapor on the Predictive Modeling of Full-Scale Indirectly Heated Biomass Torrefaction System Throughput Capacity by Chaitanya Bhatraju, Matthew Russell, Martijn Dekker

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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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Evaluating statistical methods to predict indoor black carbon in an urban birth cohort by Sherry WeMott, Grace Kuiper, Sheena E. Martenies, Matthew D. Koslovsky, William B. Allshouse, John L. Adgate, Anne P. Starling, Dana Dabelea, Sheryl Magzamen

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Evaluating predictive performance, validity, and applicability of machine learning models for predicting HIV treatment interruption: a systematic review by Williams Kwarah, Frances Baaba da-Costa Vroom, Duah Dwomoh, Samuel Bosomprah

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Predictive Modeling of Flood Frequency Utilizing an Analysis of the Casimcea River in Romania by Carmen Maftei, Constantin Cerneaga, Ashok Vaseashta

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Prediction of gastrointestinal bleeding hospitalization risk in hemodialysis using machine learning by John W. Larkin, Suman Lama, Sheetal Chaudhuri, Joanna Willetts, Anke C. Winter, Yue Jiao, Manuela Stauss-Grabo, Len A. Usvyat, Jeffrey L. Hymes, Franklin W. Maddux, David C. Wheeler, Peter Stenvinkel, Jürgen Floege, on behalf of the INSPIRE Core Group

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Value of urinary lipoarabinomannan levels for tuberculosis diagnosis and monitoring of therapy by Yiqun Xiong, Zhihong Shen, Bo Dong, Ying Wang, Ying Zhu, Hongxia Wei, Dongliang Zhang, Yang Che

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Detection and prediction of real-world severe asthma phenotypes by application of machine learning to electronic health records by Mehmet Furkan Bağcı, MSc, Toan Do, MD, Samantha R. Spierling Bagsic, PhD, Rahul F. Gomez, MD, Judy H. Jun, MD, Anna L. Ritko, MA, MPhil, Sally E. Wenzel, MD, Truong Nguyen, PhD, Yusuf Öztürk, PhD, Brian D. Modena, MD, MSc

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Predicting onset of myopic refractive error in children using machine learning on routine pediatric eye examinations only by Yonina Ron, Tchelet Ron, Naomi Fridman, Anat Goldstein

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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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SHAP combined with machine learning to predict mortality risk in maintenance hemodialysis patients: a retrospective study by Peng Shu, Xia Wang, Zhuping Wen, Jie Chen, Fang Xu

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Fabric Tactile Prediction Method Based on Spider Diagram by Ruifeng Xie, Shuyang Ding, Zeyu Cheng, Luowei Ma, Yanzhu Yang

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Predicting Firefighter Injury and Entrapment in Urban Firefighting Operations: An Investigation Into the Effectiveness of Modified Fire Time Stages and Machine Learning by Mohammad Mahdi Barati Jozan, Hamed Khosravi, Aynaz Lotfata, Krzysztof J. Cios, Hamed Tabesh

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Designing Predictive Analytics Frameworks for Supply Chain Quality Management: A Machine Learning Approach to Defect Rate Optimization by Zainab Nadhim Jawad, Balázs Villányi

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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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Analysis of Uncertainty in Conveyor Belt Condition Assessment Using Time-Based Indicators by Aleksandra Rzeszowska, Leszek Jurdziak, Ryszard Błażej, Paweł Lewandowicz

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Analytical prediction of groundwater loss in deep coal mines induced by ground vibration by Pieride Mabe Fogang, Bingjie Huo, Hervé Losaladjome Mboyo, Rong Hai, Songtao Zhang, Lesly Dasilva Wandji Djouonkep, Dieudonné Bisso

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Development and validation of a predictive model for acute kidney injury in patients with ureterolithiasis by Yufeng Jiang, Jingcheng Zhang, Ailiyaer Ainiwaer, Yuchao Liu, Jing Li, Liuliu Zhou, Yang Yan, Haimin Zhang

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