High School Scores to College Performance: Exploring the Predictive Validity of Grade 12 Standardized Test Scores for University GPA by Abdurrahman Wahab, Hemin Ibrahim

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Enhancing predictive accuracy for urinary tract infections post-pediatric pyeloplasty with explainable AI: an ensemble TabNet approach by Hongyang Wang, Junpeng Ding, Shuochen Wang, Long Li, Jinqiu Song, Dongsheng Bai

“…In summary, we have introduced the first ensemble prediction model, incorporating both machine learning and deep learning (meta-learner), to predict urinary tract infections following pediatric pyeloplasty. …”
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Evolving prognostic paradigms in lung adenocarcinoma with brain metastases: a web-based predictive model enhanced by machine learning by Min Liang, Zhiwen Zhang, Langming Wu, Mafeng Chen, Shifan Tan, Jian Huang

“…We pinpointed independent prognostic features for overall survival (OS) using Lasso regression analyses. Predictive models were built using Random Forest, XGBoost, Decision Trees, and Artificial Neural Networks, with their performance evaluated via metrics including the area under the receiver operating characteristic curve (AUC), calibration plots, brier score, and decision curve analysis (DCA). …”
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Seismic Prediction of Porosity in the Norne Field: Utilizing Support Vector Regression and Empirical Models Driven by Bayesian Linearized Inversion by Jorge A. Teruya Monroe, Jose J. S. de Figueiredo, Carlos E. S. Amanajas

“…Combined with log data from seventeen wells, these inverted parameters serve as inputs for two porosity prediction models: the empirical Han’s equation and a more adaptable Support Vector Regression model, the latter demonstrating superior precision in most cases due to its flexible fitting and calibration capabilities. …”
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Erythrocyte modified controlling nutritional status as a biomarker for predicting poor prognosis in post-surgery breast cancer patients by Jingjing Hu, Jiaming Dong, Xiang Yang, Zhiyi Ye, Guoming Hu

“…However, current nutritional and inflammatory measures predict disease free survival (DFS) of breast cancer are still different, and the most predictive measures remain unknown. …”
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Effect of Sterilization Methods on the Storage Quality of Soybean Protein-based Small Crisp Meat and Its Shelf Life Prediction by Ying SUN, Bin ZHOU, Long WANG, Shen LIU, Binglin LU, Lianzhou JIANG, Juyang ZHAO, Xiuqing ZHU

“…The Q10 model was utilized to obtain the shelf life model of plant-based small crispy meat precooked dish based on the TVB-N value, and predicted its shelf life at 4 ℃ storage temperature. …”
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Leveraging advanced deep learning and machine learning approaches for snow depth prediction using remote sensing and ground data by Haytam Elyoussfi, Abdelghani Boudhar, Salwa Belaqziz, Mostafa Bousbaa, Karima Nifa, Bouchra Bargam, Abdelghani Chehbouni

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Multi-sequence MRI-based nomogram for prediction of human epidermal growth factor receptor 2 expression in breast cancer by Mengyi Shen, Li Zhang, Dingyi Zhang, Xin He, Nian Liu, Xiaohua Huang

“…Objective: To develop a nomogram based on multi-sequence MRI (msMRI) radiomics features and imaging characteristics for predicting human epidermal growth factor receptor 2 (HER2) expression in breast cancer (BC). …”
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Predictive value of plasma sB7-H3 and YKL-40 in pediatric refractory Mycoplasma pneumoniae pneumonia by Zhao QiuMin, Ji ShiYan, Jiang HaiPing, Lu DongMing, Qian LiFen, Zhang JingWen, Cui Yue, Lin Wei, Ge HaoYing, Gu Meng

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A Novel Immune-Related lncRNA-Based Model for Survival Prediction in Clear Cell Renal Cell Carcinoma by Zedan Zhang, Yanlin Tang, Yanjun Liu, Hongkai Zhuang, Enyu Lin, Lu Xie, Xiaoqiang Feng, Kaiwen Tian, Jiayi Zeng, Jiumin Liu, Yuming Yu

“…Identifying immune-related lncRNAs and constructing a model would probably provide new insights into biomarkers and immunotherapy for ccRCC and aid in the prognosis prediction. Methods. The transcription profile and clinical information were obtained from The Cancer Genome Atlas (TCGA). …”
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Predictive Factors for Local Recurrence and Incomplete Resection of Early Gastric Cancer Treated by Endoscopic Resection: A Western Experience by Fábio Yuji Hondo, Fauze Maluf-Filho, Humberto Setsuo Kishi, Ricardo Sato Uemura, Luciano Okawa, Ivan Cecconello, Paulo Sakai

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Water quality prediction and carbon reduction mechanisms in wastewater treatment in Northwest cities using Random Forest Regression model by Jingjing Sun, Xin Guan, Xiaojun Sun, Xiaojing Cao, Yepei Tan, Jiarong Liao

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T-cell receptor beta variable gene polymorphism predicts immune-related adverse events during checkpoint blockade immunotherapy by Linghua Wang, Siqing Fu, Aung Naing, Funda Meric-Bernstam, Carl Morrison, Joud Hajjar, Mingxuan Xu, Anas Alshawa, Bettzy Stephen, Ying Yuan, Jordi Rodon Ahnert, Abdulrazzak Zarifa, Shrutii Sarda, Timothy Looney, Sapna P Patel, Geoffrey M Lowman, Dzifa Yawa Duose, Jeffrey M Conroy, Evan Kwiatkowski

“…Germline-encoded TRBV polymorphisms may serve as a predictive biomarker of severe irAEs.…”
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QoS Prediction for Neighbor Selection via Deep Transfer Collaborative Filtering in Video Streaming P2P Networks by Wenming Ma, Qian Zhang, Chunxiao Mu, Meng Zhang

“…An attractive way is that we can predict the QoS of a node by taking advantage of the past usage experiences of a small number of the other clients who have evaluated this node. …”
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Projection and prediction of the annual and seasonal future reference evapotranspiration time scales in the West of Iran under RCP emission scenarios by Shadieh Heydari Tasheh Kaboud, Younes Khoshkhoo

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Challenges in Predicting the Filtration Performance of a Novel Sewn Mask: Scale-up from Filter Holder to Mannequin Measurements by Audrey J. Dang, Benjamin M. Kumfer, J. Tyler Bertroche, Jane Olson Glidden, Christopher R. Oxford, Udayabhanu Jammalamadaka, Mary Ruppert-Stroescu, Alexander R. Scott, Jason A. Morris, Connie Gan, Jesse Hu, Bradley King, David I. A. Dhanraj, Shruti Choudhary, Pratim Biswas, Richard L. Axelbaum, Kathleen W. Meacham, Brent J. Williams

“…We investigate whether characterizing a material in a filter holder at a range of face velocities enabled precise prediction of the filtration performance of a novel sewn mask design. …”
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Predictive modelling of hexagonal boron nitride nanosheets yield through machine and deep learning: An ultrasonic exfoliation parametric evaluation by Jerrin Joy Varughese, Sreekanth M․S․

“…The DNN with the Adam optimizer achieved the highest accuracy (R² = 0.98423), demonstrating superior predictive capability compared to other ML and DL models. …”
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Establishment and Validation of a Machine‐Learning Prediction Nomogram Based on Lymphocyte Subtyping for Intra‐Abdominal Candidiasis in Septic Patients by Jiahui Zhang, Wei Cheng, Dongkai Li, Guoyu Zhao, Xianli Lei, Na Cui

“…ABSTRACT This study aimed to develop and validate a nomogram based on lymphocyte subtyping and clinical factors for the early and rapid prediction of Intra‐abdominal candidiasis (IAC) in septic patients. …”
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Enhanced Adaptive Neural-Fuzzy Inference System for Dynamic Time Series Prediction Using Self-Feedback and Hybrid Training by Andrew Topper, Honglei Yao

“…Predicting time series, especially those originating from chaotic and nonlinear dynamic systems, is a critical research area with broad applications across various fields. …”
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Endothelial Activation and Stress Index (EASIX) to predict mortality after allogeneic stem cell transplantation: a prospective study by Axel Benner, Peter Dreger, Grzegorz W Basak, Christian Koenecke, Olaf Penack, Christophe Peczynski, Lucia López Corral, Ivan Moiseev, Hélène Schoemans, Zinaida Peric, Thomas Luft, Simona Sica, Mutlu Arat, Maija Itäla-Remes, Nicolaas P M Schaap, Michal Karas, Ludek Raida, Thomas Schroeder, Elisabetta Metafuni, Tulay Ozcelik, Brenda M Sandmaier, Lambros Kordelas

“…Background We previously reported that the “Endothelial Activation and Stress Index” (EASIX; ((creatinine×lactate dehydrogenase)÷thrombocytes)) measured before start of conditioning predicts mortality after allogeneic hematopoietic stem cell transplantation (alloSCT) when used as continuous score. …”
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