Efficacy and validation of a clinical predictive model for chronic atrophic gastritis in patients: a multi-center retrospective analysis by Xiang Fang, Wenjing Ding, Xiaolong Xu, Hui Chen, Bei Pei, Yi Zhang, Biao Song, Xuejun Li, Li Yao

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Predicting Sustainable Consumption Behavior from HEXACO Traits and Climate Worry: A Bayesian Modelling Approach by Stefanos Balaskas, Kyriakos Komis

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Comprehensive propagation of errors for the prediction of woody biomass by Stephen H. Roxburgh, Keryn I. Paul

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Attention-Enhanced CNN-LSTM Model for Exercise Oxygen Consumption Prediction with Multi-Source Temporal Features by Zhen Wang, Yingzhe Song, Lei Pang, Shanjun Li, Gang Sun

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Personalized prediction of psoriasis relapse post-biologic discontinuation: a machine learning-driven population cohort study by Shan Huang, Yanping Bai, Ruozhou Qi, Hongda Yu, Xingwu Duan

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Influence of Ocean Current Features on the Performance of Machine Learning and Dynamic Tracking Methods in Predicting Marine Drifter Trajectories by Huan Lin, Weiye Yu, Zhan Lian

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Research on the mechanism and prediction model of gas leakage and diffusion from shallow-buried natural gas pipelines by Chengjun Yue, Ping Lu, Jinjin Zhu, Shaokun Guan, Kun Yang, Yan Xu, Li Chen

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Prediction of recurrence-free survival and risk factors of sinonasal inverted papilloma after surgery by machine learning models by Siyu Miao, Yang Cheng, Yaqi Li, Xiaodong Chen, Fuquan Chen, Dingjun Zha, Tao Xue

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Machine learning-based prediction of mortality risk in AIDS patients with comorbid common AIDS-related diseases or symptoms by Yiwei Chen, Kejun Pan, Xiaobo Lu, Erxiding Maimaiti, Maimaitiaili Wubuli

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A Chinese prospective cohort research developed and validated a risk prediction model for patients with cervical cancer by Li Yuan, Baogang Wen, Xiuying Li, Haike Lei, Dongling Zou, Qi Zhou

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Robust Adaptive Path Tracking Control Scheme for Safe Autonomous Driving via Predicted Interval Algorithm by Cong Phat Vo, Jungeun Lee, Jeong Hwan Jeon

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The Impact of Wave Prediction Uncertainty on the Control of a Multi-Axis Wave Energy Converter by Carrie Hall, Yueqi Wu, Igor Rizaev, Wanan Sheng, Robert Dorrell, George Aggidis

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Predicting Osteoporosis Risk Using Regression Model Based on Socio Demographic Factors among Indian Women by Ajeet Saoji, Prachi Saoji, Kartik Khurana, Rahitha Raj Ajimol Rajeev, Sreeuthra Baskaran, Naveen Javari Thirumalapura Javarashetty, Prashanth Arumugam

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Establishment of an Improved Elman Neural Network Model for Predicting the Corrosion Rate of 3C Steel in Marine Environment and Analysis of the Factors Affecting Model Accuracy by Wenbo Jin, Zhuo Chen, Wanying Liu, Qing Quan, Zongxiao Ren

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ELM2.1-XGBfire1.0: improving wildfire prediction by integrating a machine learning fire model in a land surface model by Y. Liu, H. Huang, S.-C. Wang, T. Zhang, D. Xu, Y. Chen

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A comparison of modeling approaches for static and dynamic prediction of central-line bloodstream infections using electronic health records (part 1): regression models by Shan Gao, Elena Albu, Hein Putter, Pieter Stijnen, Frank E Rademakers, Veerle Cossey, Yves Debaveye, Christel Janssens, Ben Van Calster, Laure Wynants

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Exploring alternate coupling inputs of a data-driven model for optimum daily streamflow prediction in calibrated SWAT-BiLSTM rainfall-runoff modeling by Khalil Ahmad, Khalil Ahmad, Mudassar Iqbal, Muhammad Atiq Ur Rehman Tariq, Afed Ullah Khan, Abdullah Nadeem, Jinlei Chen, Kseniia Usanova, Kseniia Usanova, Hamad Almujibah, Hashem Alyami, Muhammad Abid

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Evaluation of a Machine Learning Model Based on Laboratory Parameters for the Prediction of Influenza A and B in Chongqing, China: Multicenter Model Development and Validation Stud... by Weiwei Hu, Yulong Liu, Jian Dong, Xuelian Peng, Chunyan Yang, Honglin Wang, Yong Chen, Shan Shi, Jin Li

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Diffusion Model-Based Virtual 3D City Augmentation for EM-Wave Propagation Analysis by Rento Hagiwara, Kazuki Yuasa, Koichi Ichige, Tatsuya Nagao, Takahiro Hayashi

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An artificial intelligence model to predict mortality among hemodialysis patients: A retrospective validated cohort study by Zhong Peng, Shuzhu Zhong, Xinyun Li, Fengyi Yu, Zixu Tang, Chunyuan Ma, Zihao Liao, Song Zhao, Yuan Xia, Haojun Fu, Wei Long, Mingxing Lei, Zhangxiu He

“…The objective of the study was to establish and validate an artificial intelligence (AI) model to predict mortality among hemodialysis patients. …”
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