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

“…The tested model set achieved its highest predictive performance by applying boosting methods. …”
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Development and Validation of a Predictive Model for Growth of Salmonella Infantis in Ground Turkey by Thomas P. Oscar

“…Data and tertiary model predictions were evaluated using the test data, model performance, and model validation criteria of the Acceptable Prediction Zones method in the Validation Software Tool. …”
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Prediction of absolute bioavailability of medicines in children: based on predicted pediatric clearance from adults by Iftekhar Mahmood

“…Aim: The objective of this study was to evaluate the predictive performance of a proposed method to predict absolute bioavailability of medicines in children (infants to adolescents). …”
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Spatial Evaluation of <i>Salurnis marginella</i> Occurrence According to Climate Change Using Multiple Species Distribution Models by Jae-Woo Song, Jaho Seo, Wang-Hee Lee

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Ground data analysis for PM2.5 Prediction using predictive modeling techniques by Elham Nourmohammad, Yousef Rashidi

“…Materials and methods: This study uses various meteorological and environmental data combinations in Tehran, Iran, this study investigates the efficacy of three predictive modeling techniques Auto Regressive Integrated Moving Average (ARIMA), Extreme Gradient Boosting (XGBoost), and Long Short-Term Memory (LSTM) in forecasting daily and monthly PM2.5 levels. …”
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Prediction of chronic postsurgical pain in adults: a protocol for multivariable prediction model development by Christian Fynbo Christiansen, Lone Nikolajsen, Simon Haroutounian, Nicholas Papadomanolakis-Pakis

“…Therefore, the objective of this study is to develop a clinically applicable and generalisable prediction model for CPSP in adults.Methods and analysis This research will be a prospective single-centre observational cohort study in Denmark spanning approximately 1 year or until a predefined number of patients are recruited (n=1526). …”
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Prediction of poor outcome in patients with acute liver failure-systematic review of prediction models. by Kama A Wlodzimirow, Saeid Eslami, Robert A F M Chamuleau, Martin Nieuwoudt, Ameen Abu-Hanna

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A Fourfold Bi-Filter and Permuted Bi-Quad-Wrapper Feature Selection Method for Finding Optimal Moments of Multi-Trajectory Transient Records in Transient Analysis by Seyed Alireza Bashiri Mosavi, Omid Khalaf Beigi

“…Finally, the efficacy of OTMs survived by the F2FP2QW model in TA is evaluated via a cross-validation scenario. The results show that F2FP2QW has a prediction accuracy of 98.87 % and a processing time of 102.587 milliseconds for transient stability prediction.…”
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Application of Generalized Predictive Control in Sewage Treatment Process by SONG Guohui

“…It presented a control method for dissolved oxygen by predictive control algorithm. …”
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Predictive factors of psychosomatic reactions during air raids by Samardžić Radomir, Špirić Željko

“…The aim of this study was to investigate somatic complaints and their predictive factors during stresses of air raids. Methods. …”
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Predictive value of inflammatory marker PLR in prostate cancer by Junhao Sun, Yu Song, Yunfei Tan, Limin Ma, Huyang Xie

“…The accuracy and performance of the prediction model were evaluated using the clinical decision curve and 10-fold cross-validation. …”
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The Predictive Role of Maladaptive Schemas in Chronic Pain of Adolescents by Saghar Salari, Maryam Shaygan, Giti Setoodeh, Parvin Ghaemmaghami

“…The young’s schema questionnaire-short form (YSQ-SF) was utilized to evaluate maladaptive schemas. Hierarchical logistic regression analysis was performed to investigate the contributions of various variables in predicting chronic pain.  …”
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Systematic review of predictive maintenance practices in the manufacturing sector by Abdeldjalil Benhanifia, Zied Ben Cheikh, Paulo Moura Oliveira, Antonio Valente, José Lima

“…The presented in-depth evaluation of the technological principles, implementation methods, economic consequences, and operational improvements based on academic and industrial sources and new innovations is performed. …”
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Predictive for patients with pneumonia in pediatric intensive care unit by Mingxuan Jia, Xiyan Hu, Lin Ji, Jiawen Lin, Jialin Liu, Yong Wang

“…IntroductionPneumonia is globally recognized as a significant disease burden, particularly among pediatric patients in intensive care units (ICU), where its etiology is complex and prognosis often poor.MethodsData were extracted from a pediatric-specific intensive care (PIC) database, selecting 795 pediatric pneumonia patients in ICUs (2010–2018). …”
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Predictive Models for Educational Purposes: A Systematic Review by Ahlam Almalawi, Ben Soh, Alice Li, Halima Samra

“…This systematic literature review evaluates predictive models in education, focusing on their role in forecasting student performance, identifying at-risk students, and personalising learning experiences. …”
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Predictive Factors for Hearing Loss in Congenital Cytomegalovirus Infection by Virginia Corazzi, Lucia Belen Musumano, Andrea Migliorelli, Laura Negossi, Chiara Bianchini, Francesco Stomeo, Stefano Pelucchi, Andrea Ciorba

“…Objectives: The present study aims to identify potential predictive factors for developing sensorineural hearing loss (SNHL) in individuals with congenital Cytomegalovirus (cCMV) infection. …”
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Risk Factors and Predictive Models for Sarcopenia in Older Adults by Shiyuan Zhang, Xue Yang, Nina An, Meng Lv, Lanyu Yang, Rui Liu, Song Hu, Weiguo Chen, Wenjing Feng, Yongjun Mao

“…LASSO and logistic regression models were constructed to identify and evaluate significant risk factors for sarcopenia. A nomogram and a decision tree model were established for the prediction of sarcopenia probability in the elderly. …”
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The predictive value of FAH model for the occurrence of colorectal cancer by Zhixuan Ma, Zhixuan Ma, Qing Wu, Qingming Wu

“…The discriminative ability, calibration, and clinical utility of the predictive model were evaluated using the Receiver Operating Characteristic curve, bootstrap resampling method, the Hosmer–Lemeshow goodness-of-fit test, and Decision Curve Analysis (DCA).ResultsFatty liver (F), carotid atherosclerosis (A), HDL-C (H), and intestinal dysbiosis (D) were identified as independent risk factors for CRC. …”
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Development characteristics and intelligent identification method of natural fractures: A case study of the Upper Triassic Xujiahe Formation in the western Sichuan Depression, Sich... by LI Wei, WANG Min, XIAO Dianshi, JIN Hui, SHAO Haoming, CUI Junfeng, JIA Yidong, ZHANG Zeyuan, LI Ming

“…Fractures provide pathways and spaces for gas migration and storage, and whether fractures develop is a key factor restricting the formation of high-quality reservoirs. To evaluate the “sweet spot” enrichment area of the Xujiahe Formation gas reservoir, fracture development characteristics are identified and an effective fracture recognition method is established based on core observation, logging data, and intelligent algorithms. …”
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Prediction and Mapping of Soil Total Nitrogen Using GF-5 Image Based on Machine Learning Optimization Modeling by LIU Liqi, WEI Guangyuan, ZHOU Ping

“…Additionally, multiple scatter correction (MSC) was applied to obtain band characteristic values, thus enhancing the model's prediction capability. Model performance was evaluated using three indicators: Coefficient of determination (R²), root mean square error (RMSE), and relative prediction deviation (RPD), to assess the prediction accuracy of different models.…”
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