Predicting pathogen evolution and immune evasion in the age of artificial intelligence by D.J. Hamelin, M. Scicluna, I. Saadie, F. Mostefai, J.C. Grenier, C. Baron, E. Caron, J.G. Hussin

“…Because of this, a long-standing yet challenging objective has been to forecast viral evolution by predicting potentially harmful viral mutations prior to their emergence. …”
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Neural Network Technologies in Predicting the Operating Status of Agricultural Enterprises by Aleksandr V. Grachev

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Guided Conditional Diffusion Classifier (ConDiff) for Enhanced Prediction of Infection in Diabetic Foot Ulcers by Palawat Busaranuvong, Emmanuel Agu, Deepak Kumar, Shefalika Gautam, Reza Saadati Fard, Bengisu Tulu, Diane Strong

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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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Predicting Functional Decline in Geriatric Abdominal Surgery Patients: Unveiling Incidence, Risk Factors, and Innovative Predictive Models in Thailand by Poungkaew Thitisakulchai, Arunotai Siriussawakul, Sunit Jarungjitaree, Nipaporn Sangarunakul, Piyapat Dajpratham

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Evaluating SORT and ACS NSQIP risk prediction models: assessing predictive accuracy for mortality in high-risk colorectal patients by Jessica Quimpo, Joelle Wong, Kyle Lam, Sundar Ashok

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Development of Machine Learning–Based Risk Prediction Models to Predict Rapid Weight Gain in Infants: Analysis of Seven Cohorts by Miaobing Zheng, Yuxin Zhang, Rachel A Laws, Peter Vuillermin, Jodie Dodd, Li Ming Wen, Louise A Baur, Rachael Taylor, Rebecca Byrne, Anne-Louise Ponsonby, Kylie D Hesketh

“…Of the 8 algorithms, the Gradient Boosting model showed the most favorable predictive accuracy. …”
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Bridging Predictive Insights and Retention Strategies: The Role of Account Balance in Banking Churn Prediction by Tahsien Al-Quraishi, Osamah Albahri, Ahmed Albahri, Abdullah Alamoodi, Iman Mohammed Sharaf

Subjects: “…customer churn prediction…”
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Diabetes Prediction Through Linkage of Causal Discovery and Inference Model with Machine Learning Models by Mi Jin Noh, Yang Sok Kim

“…As the global diabetes population continues to increase, it is crucial to identify its causes. Therefore, we predicted diabetes using an AI model and quantitatively examined causal relationships using a causal discovery and inference model. …”
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A graph model for genomic prediction in the context of a linear mixed model framework by Osval A. Montesinos‐López, Gloria Isabel Huerta Prado, José Cricelio Montesinos‐López, Abelardo Montesinos‐López, José Crossa

“…Abstract Genomic selection is revolutionizing both plant and animal breeding, with its practical application depending critically on high prediction accuracy. In this study, we aimed to enhance prediction accuracy by exploring the use of graph models within a linear mixed model framework. …”
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Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction by Daniela Gerz, Ivan Vulić, Edoardo Ponti, Jason Naradowsky, Roi Reichart, Anna Korhonen

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Analysis of Optimal Prediction Under Stochastically Restricted Linear Model and Its Subsample Models by Nesrin Güler

“…This paper provides a study on optimal prediction problems in a linear model and its subsample models with linear stochastic restrictions, using matrix theory for precise analytical solutions. …”
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Engine Optimization Model for Accurate Prediction of Friction Model in Marine Dual-Fuel Engine by Mina Tadros

“…The focus is on determining the terms of the Chen–Flynn correlation—an empirical engine friction model—to improve the precision of friction and performance predictions. …”
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Research on Deformation Prediction Surrogate Model of Thin-walled Parts for Digital Twin Modeling by YUE Caixu, ZHANG Jiahao, XIA Wei, JIA Ruhong, GUO Yandong, LIU Xianli

Subjects: “…machining deformation prediction…”
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Prediction Model for Compaction Quality of Earth-Rock Dams Based on IFA-RF Model by Weiwei Lin, Yuling Yan, Pu Xu, Xiao Zhang, Yichuan Zhong

“…Additionally, the existing models frequently demonstrate constrained prediction accuracy and generalization capabilities. …”
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Fluorescence spectroscopic profiling of urine samples for predicting kidney transplant rejection by Zhe Yang, Minrui Zhang, Xianduo Li, Zhipeng Xu, Yi Chen, Xiaoyu Xu, Dongdong Chen, Lingquan Meng, Xiaoqing Si, Jianning Wang

“…The model successfully identified multiple rejection types with an average diagnostic accuracy of 95.56 %.Beyond proposing an innovative approach for predicting the risk of complications post-kidney transplantation, this study heralds the potential introduction of a non-invasive, rapid, and accurate supplementary method for risk assessment in clinical practice.…”
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Predicting Individual Systems Thinking Skills Using Bayesian Network Approach by Niamat Ullah Ibne Hossain, Raed Jaradat, Morteza Nagahi, Alex Gorod

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Construction of a metabolic‐immune model for predicting the risk of diabetic nephropathy and study of gut microbiota by Mengting Dai, Jianbo Wu, Zhaoyang Ji, Ping Chen, Chengchen Yang, Jialu Luo, Pengfei Shan, Mingzhi Xu

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Predicting Noise and User Distances from Spectrum Sensing Signals Using Transformer and Regression Models by Myke Valadão, Diego Amoedo, André Costa, Celso Carvalho, Waldir Sabino

“…This paper proposes a method for predicting noise levels and distances based on spectrum sensing signals using regression machine learning models. …”
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What the Taylor Rule Predicts for the Case of Turkiye by Osman Cenk Kanca

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