Use of Machine Learning to Predict the Incidence of Type 2 Diabetes Among Relatively Healthy Adults: A 10-Year Longitudinal Study in Taiwan by Ying-Qiang Liu, Tzu-Wei Chang, Lung-Chun Lee, Chia-Yu Chen, Pi-Shan Hsu, Yu-Tse Tsan, Chao-Tung Yang, Wei-Min Chu

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A statistically predictive heat transfer rate model in a radiative magnetized hybrid nanofluid flow with dissipation over a sheet elongating exponentially: Combined RSM & ANOVA by Rupa Baithalu, S.R. Mishra, Subhajit Panda

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Comparative Evaluation of Ensemble Machine Learning Models for Methane Production from Anaerobic Digestion by Dorijan Radočaj, Mladen Jurišić

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Pulsed Focused Nonlinear Acoustic Fields from Clinically Relevant Therapeutic Sources in Layered Media: Experimental Data and Numerical Prediction Results by Tamara KUJAWSKA

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Causal Attribution of the Interannual Variability in Flood Peaks Through Bayesian Networks by J. S. Nanditha, Gabriele Villarini, Hanbeen Kim, Philippe Naveau

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Novel Antimicrobials from Computational Modelling and Drug Repositioning: Potential <i>In Silico</i> Strategies to Increase Therapeutic Arsenal Against Antimicrobial Resistance by Antonio Tarín-Pelló, Sara Fernández-Álvarez, Beatriz Suay-García, María Teresa Pérez-Gracia

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Artificial intelligence integration in healthcare: perspectives and trends in a survey of U.S. health system leaders by Shan Guleria, Janet Guptill, Ishmeet Kumar, Mia McClintic, Juan C. Rojas

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Correction: Karaköse, M.; Yücel, Ö. Predictive Modeling of the Hydrate Formation Temperature in Highly Pressurized Natural Gas Pipelines. <i>Energies</i> 2024, <i>17</i>, 5306 by Mustafa Karaköse, Özgün Yücel

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Correction: Topa Gavilema et al. Modeling and Energy Management of a Microgrid Based on Predictive Control Strategies. <i>Solar</i> 2023, <i>3</i>, 62–73 by Alex Omar Topa Gavilema, Juan D. Gil, José Domingo Álvarez Hervás, José Luis Torres Moreno, Manuel Pérez García

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Next-Generation Sequencing–Based Testing Among Patients With Advanced or Metastatic Nonsquamous Non–Small Cell Lung Cancer in the United States: Predictive Modeling Using Machine L... by Alan James Michael Brnabic, Ilya Lipkovich, Zbigniew Kadziola, Dan He, Peter M Krein, Lisa M Hess

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Integrative habitat analysis and multi-instance deep learning for predictive model of PD-1/PD-L1 immunotherapy efficacy in NSCLC patients: a dual-center retrospective study by Xiaoxiao Huang, Xiaoxin Huang, Yurun Xie, Kui Wang, Housheng Bai, Ruiling Ning, Xiqi Zhu, Deyou Huang, Guanqiao Jin

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Building a pre-surgical multiparametric-MRI-based morphologic, qualitative, semiquantitative, first and high-order radiomic predictive treatment response model for undifferentiated... by Raul F. Valenzuela, Elvis Duran-Sierra, Mathew Antony, Behrang Amini, Sam Lo, Keila E. Torres, Robert S. Benjamin, Jingfei Ma, Ken-Pin Hwang, R. Jason Stafford, Dejka Araujo, Andrew J. Bishop, Ravin Ratan, Wei-Lien Wang, Jossue Espinoza, Pia V. Valenzuela, Chengyue Wu, John E. Madewell, William A. Murphy, Colleen M. Costelloe

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A tiered NARX model for forecasting day-ahead energy production in distributed solar PV systems by Sameer Al-Dahidi, Mohammad Alrbai, Bilal Rinchi, Loiy Al-Ghussain, Osama Ayadi, Ali Alahmer

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A stacking ensemble model for food demand forecasting: A preventative approach to food waste reduction by Asmaa Seyam, Sujith Samuel Mathew, Bo Du, May El Barachi, Jun Shen

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Predicting the distribution of potentially suitable habitat in China for Cirsium japonicum Fisch. ex DC. under future climate scenarios based on the R‐optimized MaxEnt model by Hu‐Qiang Fang, Zi‐Xuan Jiang, Shi‐Mao Chen, Tao Xie, Yu Xue, Jia Song, Qing‐Shan Yang

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Web-based machine learning application for interpretable prediction of prolonged length of stay after lumbar spinal stenosis surgery: a retrospective cohort study with explainable... by Paierhati Yasheng, Paierhati Yasheng, Alimujiang Yusufu, Yasenjiang Yimiti, Haopeng Luan, Cong Peng, Xinghua Song

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Parameters of complete blood count, lipid profile and their ratios in predicting obstructive coronary artery disease in patients with non-ST elevation acute coronary syndrome by M. M. Tsivanyuk, B. I. Geltser, K. I. Shakhgeldyan, A. A. Vishnevskiy, O. I. Shekunova

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Enhanced water quality prediction: Application of deep neural networks and adaptive neuro-fuzzy inference systems to assess calcium concentration by Moussa Attia, Zied Driss, Hany F. Abd-Elhamid, Ridha Ennetta

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Modelling of agricultural land dynamics using artificial neural networks and geospatial analysis in Melur Taluk, Tamil Nadu, India by Gowthaman M S, Murugasan R, Srinivasa Raju K, Makendran C

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Temporal user interest modeling for online advertising using Bi-LSTM network improved by an updated version of Parrot Optimizer by Yang Yang, Lijun Zhang, Jiaquan Liu

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