Multiple automated machine-learning prediction models for postoperative reintubation in patients with acute aortic dissection: a multicenter cohort study by Shuyu Wen, Chao Zhang, Junwei Zhang, Ying Zhou, Yin Xu, Minghui Xie, Jinchi Zhang, Zhu Zeng, Long Wu, Weihua Qiao, Xingjian Hu, Xingjian Hu, Nianguo Dong, Nianguo Dong

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Development of a Predictive Model of Occult Cancer After a Venous Thromboembolism Event Using Machine Learning: The CLOVER Study by Anabel Franco-Moreno, Elena Madroñal-Cerezo, Cristina Lucía de Ancos-Aracil, Ana Isabel Farfán-Sedano, Nuria Muñoz-Rivas, José Bascuñana Morejón-Girón, José Manuel Ruiz-Giardín, Federico Álvarez-Rodríguez, Jesús Prada-Alonso, Yvonne Gala-García, Miguel Ángel Casado-Suela, Ana Bustamante-Fermosel, Nuria Alfaro-Fernández, Juan Torres-Macho

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Radiomic-based models are able to predict the pathologic response to different neoadjuvant chemotherapy regimens in patients with gastric and gastroesophageal cancer: a cohort stud... by Annamaria Agnes, Luca Boldrini, Federica Perillo, Huong Elena Tran, Maria Gabriella Brizi, Riccardo Ricci, Jacopo Lenkowicz, Claudio Votta, Alberto Biondi, Riccardo Manfredi, Vincenzo Valentini, Domenico M. D’Ugo, Roberto Persiani

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Predicting Remaining Useful Life of Lithium-Ion Batteries for Electric Vehicles Using Machine Learning Regression Models by Sravanthi C L, Dr.J N Chandra sekhar

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A machine-learned model for predicting weight loss success using weight change features early in treatment by Farzad Shahabi, Samuel L. Battalio, Angela Fidler Pfammatter, Donald Hedeker, Bonnie Spring, Nabil Alshurafa

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Multi‐Hour‐Ahead Dst Index Prediction Using Multi‐Fidelity Boosted Neural Networks by A. Hu, E. Camporeale, B. Swiger

“…It is derived by measurements from four ground magnetometers in the geomagnetic equatorial region. We present a new model for predicting Dst with a lead time between 1 and 6 hr. …”
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A comparative analysis of variants of machine learning and time series models in predicting women’s participation in the labor force by Rasha Elstohy, Nevein Aneis, Eman Mounir Ali

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Evaluating Machine Learning Models for Predicting Late Leprosy Diagnosis by Physical Disability Grade in Brazil (2018–2022) by Lucia Rolim Santana de Freitas, José Antônio Oliveira de Freitas, Gerson Oliveira Penna, Elisabeth Carmen Duarte

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Development and validation of a model for predicting the risks for delayed onset of lactogenesis stage II for Chinese pregnant women by Wenting Li, Guofang Kuang, Yanqiu Chen, Peng Yu, Meng Zhang

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Hybrid regression method to predict forest variables from Earth observation data in boreal forests by Eelis Halme, Matti Mõttus

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Prediction, Prevention, and Control of “Overall–Local” Coal Burst of Isolated Working Faces Prior to Mining by Ming Zhang, Shiji Yang

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Research on Lithium-Ion Battery State of Health Prediction Based on XGBoost–ARIMA Joint Optimization by Chen Fei, Zhuo Lu, Weiwei Jiang, Liang Zhao, Fan Zhang

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Modeling potential of halophytes in the production of biofuel and edible oil using linear regression and an adaptive neuro-fuzzy inference system by Azin Sharafi, Seyed Akbar Javadi, Ehsan Zandi Esfahan, Mohammad Jaffari, Mahshid Souri

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Machine learning approaches in the therapeutic outcome prediction in major depressive disorder: a systematic review by Veronica Atemnkeng Ntam, Tatjana Huebner, Michael Steffens, Catharina Scholl

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Predicting Transient Anomalous Transport in Two‐Dimensional Discrete Fracture Networks With Dead‐End Fractures by HongGuang Sun, Dawei Lei, Yong Zhang, Jiazhong Qian, Xiangnan Yu

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Predicting intensive care need in women with preeclampsia using machine learning – a pilot study by Camilla Edvinsson, Ola Björnsson, Lena Erlandsson, Stefan R. Hansson

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SiMBA-Augmented Physics-Informed Neural Networks for Industrial Remaining Useful Life Prediction by Min Li, Jianfeng Qin, Haifeng Fan, Ting Ke

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Enhanced Multi-Level Recommender System Using Turnover-Based Weighting for Predicting Regional Preferences by Venkatesan Thillainayagam, Ramkumar Thirunavukarasu, J. Arun Pandian

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Strength characteristics and prediction model of solidified municipal sludge reinforced by dredged silt combined with sodium silicate and polyurethane by Yupeng Cao, Hui Lin, Tong Zong, Xiangbo Xu, Mingdong Li, Xia Bian, Zhiqiang Li

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AI-Enabled Predictive Analytics in Smart Grids: The Case of Sweden by Theodore Kindong, Bjorn Johansson, Victoria Paulsson

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