Mortality risk prediction model in AIDS patients with pneumocystis pneumonia in China by Xi Wang, Letian Liu, Wen Wang, Yang Zhang, Hui Chen, Zhangli Wang, Jianwei Li, Yue Gao, Yanqun Huang, Lijun Sun, Tong Zhang, Aixin Li

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Multidimensional predictive model for assessing clinical activity in thyroid eye disease by Yang Li, Yang Li, Yang Li, Guang-Hong Zhang, Guang-Hong Zhang, Guang-Hong Zhang, Man Tian, Man Tian, Man Tian, Chuan Hua, Chuan Hua, Chuan Hua, Chuan Hua, Jian-Ping Zhai, Jian-Ping Zhai, Jian-Ping Zhai, Yan-Qiong He, Yan-Qiong He, Yan-Qiong He, Xin-He Zuo, Xin-He Zuo, Xin-He Zuo, Xin-He Zuo

“…Variables with significant associations with CAS-defined activity were identified using univariate analysis, and Bayesian shrinkage regression (BSR) and the least absolute shrinkage and selection operator (LASSO) were utilized for variable selection in the primary cohort. Predictive models were constructed and evaluated using receiver operating characteristic (ROC) curves (internally validated via five-fold cross-validation), decision curve analysis (DCA), and calibration curves.ResultsFive predictive models were constructed. …”
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Robust Cross-Validation of Predictive Models Used in Credit Default Risk by Jose Vicente Alonso, Lorenzo Escot

“…While many methodologies have been developed, cross-validation is perhaps the most widely accepted, often being part of the model development process by optimizing the hyperparameters of predictive algorithms. …”
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Predictive modeling of major polluters based on the German PRTR emissions data by Heiko Thimm, Vanessa Schmidt

“…The findings indicate that both models generate predictions that are closely aligned with the actual pollution reports. …”
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Software refactoring prediction evaluation method based on deep learning models by Yichi ZHANG, Yang ZHANG, Yanlei LI, Kun ZHENG, Wei LIU

“…Aiming at the lack of research on the performance of deep learning models in predicting software refactoring in the current field, a deep learning-based software refactoring prediction evaluation method was proposed to assess the refactoring predictive performance of these models. …”
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Prediction of blossoming of apple tree (Malus domestica Borkh) BY phenological models by Lučka KAJFEŽ-BOGATAJ, Klemen BERGANT

“… Paper discusses the possibilities for predicting date of blossom of apple tree (Malus domestica Borkh) cv. …”
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Monthly Arctic Sea‐Ice Prediction With a Linear Inverse Model by M. Kathleen Brennan, Gregory J. Hakim, Edward Blanchard‐Wrigglesworth

“…Abstract We evaluate Linear Inverse Models (LIMs) trained on last millennium model data to predict Arctic sea‐ice concentration, thickness, and other atmospheric and oceanic variables on monthly timescales. …”
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Machine Learning Models and Mathematical Approaches for Predictive IoT Smart Parking by Vesna Knights, Olivera Petrovska, Jasmina Bunevska-Talevska, Marija Prchkovska

“…The lagged features were able to capture the temporal dependencies more effectively than the other models, resulting in lower RMSE values. The LightGBM model with lagged data produced an R² of 0.9742 and an RMSE of 0.1580, making it the best model for time series prediction. …”
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Soybean yield prediction leveraging advanced ensemble machine learning models by RAM MANOHAR PATEL, KAMAL BUNKAR

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Exploring Signature‐Based Model Calibration for Streamflow Prediction in Ungauged Basins by Marco Dal Molin, Dmitri Kavetski, Carlo Albert, Fabrizio Fenicia

“…Abstract Calibration of precipitation‐streamflow models to streamflow signatures is a promising approach for streamflow prediction in ungauged basins (PUB). …”
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Parameter Optimization of MIMO Fuzzy Optimal Model Predictive Control By APSO by Adel Taieb, Moêz Soltani, Abdelkader Chaari

“…This paper introduces a new development for designing a Multi-Input Multi-Output (MIMO) Fuzzy Optimal Model Predictive Control (FOMPC) using the Adaptive Particle Swarm Optimization (APSO) algorithm. …”
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Machine Learning Models on MOBA Gaming: League of Legends Winner Prediction by Kaan Arık

“…LoL (League of Legends) is one of the most popular MOBA games. Predicting winners in online games has become an essential application for machine learning models. …”
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Quality Prediction Model Based on Novel Elman Neural Network Ensemble by Lan Xu, Yuting Zhang

“…In this paper, we propose a novel Elman NN ensemble model for quality prediction during product design. …”
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Comparison of CatBoost and LightGBM Models for Air Humidity Prediction by Tangkas Surya Wibawa, Novita Kurnia Ningrum, Ahmad Syahreza

“…This study uses historical weather data from the Badan Meteorologi, Klimatologi, dan Geofisika (BMKG) to evaluate the performance of two combination machine learning models, LightGBM and CatBoost, in predicting air humidity. …”
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Exploration of Machine Learning Models for Prediction of Gene Electrotransfer Treatment Outcomes by Alex Otten, Michael Francis, Anna Bulysheva

“…Advances in machine learning (ML) and computing power, data analysis, and model generation using ML techniques, such as neural networks, enable predictive modeling for GET. …”
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Construction of a prediction model for severe pneumonia complicate with respiratory failure by Siyu GAO, Sheng ZHANG, Xi CHEN, Zhixia ZHANG, Yumei YANG

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Research on Wellbore Trajectory Prediction Based on a Pi-GRU Model by Hanlin Liu, Yule Hu, Zhenkun Wu

Subjects: “…Pi-GRU model…”
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Prediction model of gear tooth flank fracture considering interfacial friction by ZHI YanFeng, WANG XiaoPeng, CAO ZhiGang, GUAN HongJie, YU FeiPeng, FAN RuiLi, LI HaiXia, WAN ShaoXiong

“…Based on the contact theory and elastic mechanics, a mathematical model for calculating the internal field stress of gear teeth with interfacial friction and the stress intensity with hardness gradient was established, and the risk prediction of gear tooth flank fracture was carried out. …”
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Analysis and Prediction for Air Quality Using Various Machine Learning Models by To-Hieu Dao, Hoang Van Nhat, Hoang Quang Trung, Vu Hoang Dieu, Nguyen Thi Thu, Duc-Nghia Tran, Duc-Tan Tran

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Developing a comprehensive malnutrition prediction model for the elderly in nursing homes by Yan Wu, Wei Tan, Wenlong Yi, Yujuan Chen

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