Artículos de revistas sobre el tema "XGBOOST PREDICTION MODEL"
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Zhao, Haolei, Yixian Wang, Xian Li, Panpan Guo y Hang Lin. "Prediction of Maximum Tunnel Uplift Caused by Overlying Excavation Using XGBoost Algorithm with Bayesian Optimization". Applied Sciences 13, n.º 17 (28 de agosto de 2023): 9726. http://dx.doi.org/10.3390/app13179726.
Texto completoGu, Xinqin, Li Yao y Lifeng Wu. "Prediction of Water Carbon Fluxes and Emission Causes in Rice Paddies Using Two Tree-Based Ensemble Algorithms". Sustainability 15, n.º 16 (13 de agosto de 2023): 12333. http://dx.doi.org/10.3390/su151612333.
Texto completoLiu, Jialin, Jinfa Wu, Siru Liu, Mengdie Li, Kunchang Hu y Ke Li. "Predicting mortality of patients with acute kidney injury in the ICU using XGBoost model". PLOS ONE 16, n.º 2 (4 de febrero de 2021): e0246306. http://dx.doi.org/10.1371/journal.pone.0246306.
Texto completoWang, Jun, Wei Rong, Zhuo Zhang y Dong Mei. "Credit Debt Default Risk Assessment Based on the XGBoost Algorithm: An Empirical Study from China". Wireless Communications and Mobile Computing 2022 (19 de marzo de 2022): 1–14. http://dx.doi.org/10.1155/2022/8005493.
Texto completoGu, Zhongyuan, Miaocong Cao, Chunguang Wang, Na Yu y Hongyu Qing. "Research on Mining Maximum Subsidence Prediction Based on Genetic Algorithm Combined with XGBoost Model". Sustainability 14, n.º 16 (22 de agosto de 2022): 10421. http://dx.doi.org/10.3390/su141610421.
Texto completoKang, Leilei, Guojing Hu, Hao Huang, Weike Lu y Lan Liu. "Urban Traffic Travel Time Short-Term Prediction Model Based on Spatio-Temporal Feature Extraction". Journal of Advanced Transportation 2020 (14 de agosto de 2020): 1–16. http://dx.doi.org/10.1155/2020/3247847.
Texto completoWang, Wenle, Wentao Xiong, Jing Wang, Lei Tao, Shan Li, Yugen Yi, Xiang Zou y Cui Li. "A User Purchase Behavior Prediction Method Based on XGBoost". Electronics 12, n.º 9 (28 de abril de 2023): 2047. http://dx.doi.org/10.3390/electronics12092047.
Texto completoOubelaid, Adel, Abdelhameed Ibrahim y Ahmed M. Elshewey. "Bridging the Gap: An Explainable Methodology for Customer Churn Prediction in Supply Chain Management". Journal of Artificial Intelligence and Metaheuristics 4, n.º 1 (2023): 16–23. http://dx.doi.org/10.54216/jaim.040102.
Texto completoLiu, Yuan, Wenyi Du, Yi Guo, Zhiqiang Tian y Wei Shen. "Identification of high-risk factors for recurrence of colon cancer following complete mesocolic excision: An 8-year retrospective study". PLOS ONE 18, n.º 8 (11 de agosto de 2023): e0289621. http://dx.doi.org/10.1371/journal.pone.0289621.
Texto completoHe, Wenwen, Hongli Le y Pengcheng Du. "Stroke Prediction Model Based on XGBoost Algorithm". International Journal of Applied Sciences & Development 1 (13 de diciembre de 2022): 7–10. http://dx.doi.org/10.37394/232029.2022.1.2.
Texto completoShin, Juyoung, Joonyub Lee, Taehoon Ko, Kanghyuck Lee, Yera Choi y Hun-Sung Kim. "Improving Machine Learning Diabetes Prediction Models for the Utmost Clinical Effectiveness". Journal of Personalized Medicine 12, n.º 11 (14 de noviembre de 2022): 1899. http://dx.doi.org/10.3390/jpm12111899.
Texto completoWu, Kehe, Yanyu Chai, Xiaoliang Zhang y Xun Zhao. "Research on Power Price Forecasting Based on PSO-XGBoost". Electronics 11, n.º 22 (16 de noviembre de 2022): 3763. http://dx.doi.org/10.3390/electronics11223763.
Texto completoXiong, Shuai, Zhixiang Liu, Chendi Min, Ying Shi, Shuangxia Zhang y Weijun Liu. "Compressive Strength Prediction of Cemented Backfill Containing Phosphate Tailings Using Extreme Gradient Boosting Optimized by Whale Optimization Algorithm". Materials 16, n.º 1 (28 de diciembre de 2022): 308. http://dx.doi.org/10.3390/ma16010308.
Texto completoWang, Yu, Li Guo, Yanrui Zhang y Xinyue Ma. "Research on CSI 300 Stock Index Price Prediction Based On EMD-XGBoost". Frontiers in Computing and Intelligent Systems 3, n.º 1 (17 de marzo de 2023): 72–77. http://dx.doi.org/10.54097/fcis.v3i1.6027.
Texto completoYang, Tian. "Sales Prediction of Walmart Sales Based on OLS, Random Forest, and XGBoost Models". Highlights in Science, Engineering and Technology 49 (21 de mayo de 2023): 244–49. http://dx.doi.org/10.54097/hset.v49i.8513.
Texto completoLi, Kunluo. "A Sales Prediction Method Based on XGBoost Algorithm Model". BCP Business & Management 36 (13 de enero de 2023): 367–71. http://dx.doi.org/10.54691/bcpbm.v36i.3487.
Texto completoYang, Hao, Jiaxi Li, Siru Liu, Xiaoling Yang y Jialin Liu. "Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation". JMIR Medical Informatics 10, n.º 6 (16 de junio de 2022): e36958. http://dx.doi.org/10.2196/36958.
Texto completoSyafrudin, Muhammad, Ganjar Alfian, Norma Latif Fitriyani, Muhammad Anshari, Tony Hadibarata, Agung Fatwanto y Jongtae Rhee. "A Self-Care Prediction Model for Children with Disability Based on Genetic Algorithm and Extreme Gradient Boosting". Mathematics 8, n.º 9 (15 de septiembre de 2020): 1590. http://dx.doi.org/10.3390/math8091590.
Texto completoLi, Weihong y Xiujuan Xu. "Ensemble learning algorithm - research analysis on the management of financial fraud and violation in listed companies". Decision Making: Applications in Management and Engineering 6, n.º 2 (15 de octubre de 2023): 722–33. http://dx.doi.org/10.31181/dmame622023785.
Texto completoRasaizadi, Arash y Seyedehsan Seyedabrishami. "Stacking Ensemble Learning Process to Predict Rural Road Traffic Flow". Journal of Advanced Transportation 2022 (1 de junio de 2022): 1–12. http://dx.doi.org/10.1155/2022/3198636.
Texto completoLu, Xin, Cai Chen, RuiDan Gao y ZhenZhen Xing. "Prediction of High-Speed Traffic Flow around City Based on BO-XGBoost Model". Symmetry 15, n.º 7 (20 de julio de 2023): 1453. http://dx.doi.org/10.3390/sym15071453.
Texto completoZhang, Chao, Yihang Zhao y Huiru Zhao. "A Novel Hybrid Price Prediction Model for Multimodal Carbon Emission Trading Market Based on CEEMDAN Algorithm and Window-Based XGBoost Approach". Mathematics 10, n.º 21 (1 de noviembre de 2022): 4072. http://dx.doi.org/10.3390/math10214072.
Texto completoTang, Jinjun, Lanlan Zheng, Chunyang Han, Fang Liu y Jianming Cai. "Traffic Incident Clearance Time Prediction and Influencing Factor Analysis Using Extreme Gradient Boosting Model". Journal of Advanced Transportation 2020 (9 de junio de 2020): 1–12. http://dx.doi.org/10.1155/2020/6401082.
Texto completoHuang, Yongfen, Can Chen y Yuqing Miao. "Prediction Model of Bone Marrow Infiltration in Patients with Malignant Lymphoma Based on Logistic Regression and XGBoost Algorithm". Computational and Mathematical Methods in Medicine 2022 (28 de junio de 2022): 1–7. http://dx.doi.org/10.1155/2022/9620780.
Texto completoThongprayoon, Charat, Pattharawin Pattharanitima, Andrea G. Kattah, Michael A. Mao, Mira T. Keddis, John J. Dillon, Wisit Kaewput et al. "Explainable Preoperative Automated Machine Learning Prediction Model for Cardiac Surgery-Associated Acute Kidney Injury". Journal of Clinical Medicine 11, n.º 21 (24 de octubre de 2022): 6264. http://dx.doi.org/10.3390/jcm11216264.
Texto completoZhang, Ping, Rongqin Wang y Nianfeng Shi. "IgA Nephropathy Prediction in Children with Machine Learning Algorithms". Future Internet 12, n.º 12 (17 de diciembre de 2020): 230. http://dx.doi.org/10.3390/fi12120230.
Texto completoFeng, Dachun, Bing Zhou, Shahbaz Gul Hassan, Longqin Xu, Tonglai Liu, Liang Cao, Shuangyin Liu y Jianjun Guo. "A Hybrid Model for Temperature Prediction in a Sheep House". Animals 12, n.º 20 (17 de octubre de 2022): 2806. http://dx.doi.org/10.3390/ani12202806.
Texto completoYuan, Yufei, Ruoran Wang, Mingyue Luo, Yidan Zhang, Fanfan Guo, Guiqin Bai, Yang Yang y JingZhao. "A Machine Learning Approach Using XGBoost Predicts Lung Metastasis in Patients with Ovarian Cancer". BioMed Research International 2022 (12 de octubre de 2022): 1–8. http://dx.doi.org/10.1155/2022/8501819.
Texto completoChen, Mujun, Xiangmei Meng, Guangming Kan, Jingqiang Wang, Guanbao Li, Baohua Liu, Chenguang Liu, Yanguang Liu, Yuanxu Liu y Junjie Lu. "Predicting the Sound Speed of Seafloor Sediments in the East China Sea Based on an XGBoost Algorithm". Journal of Marine Science and Engineering 10, n.º 10 (24 de septiembre de 2022): 1366. http://dx.doi.org/10.3390/jmse10101366.
Texto completoGopatoti, Anandbabu. "A novel metaheuristic prediction approach for COVID-19 cases using XGBoost algorithm". International Journal of Scientific Methods in Intelligence Engineering Networks 01, n.º 01 (2023): 85–93. http://dx.doi.org/10.58599/ijsmien.2023.1108.
Texto completoChen, Yuhuan y Yingqing Jiang. "Construction of Prediction Model of Deep Vein Thrombosis Risk after Total Knee Arthroplasty Based on XGBoost Algorithm". Computational and Mathematical Methods in Medicine 2022 (25 de enero de 2022): 1–6. http://dx.doi.org/10.1155/2022/3452348.
Texto completoYang, Zhao, Yifan Wang, Jie Li, Liming Liu, Jiyang Ma y Yi Zhong. "Airport Arrival Flow Prediction considering Meteorological Factors Based on Deep-Learning Methods". Complexity 2020 (26 de octubre de 2020): 1–11. http://dx.doi.org/10.1155/2020/6309272.
Texto completoOh, Sejong, Yuli Park, Kyong Jin Cho y Seong Jae Kim. "Explainable Machine Learning Model for Glaucoma Diagnosis and Its Interpretation". Diagnostics 11, n.º 3 (13 de marzo de 2021): 510. http://dx.doi.org/10.3390/diagnostics11030510.
Texto completoXu, Bing, Youcheng Tan, Weibang Sun, Tianxing Ma, Hengyu Liu y Daguo Wang. "Study on the Prediction of the Uniaxial Compressive Strength of Rock Based on the SSA-XGBoost Model". Sustainability 15, n.º 6 (15 de marzo de 2023): 5201. http://dx.doi.org/10.3390/su15065201.
Texto completoHarriz, Muhammad Alfathan, Nurhaliza Vania Akbariani, Harlis Setiyowati y Handri Santoso. "Enhancing the Efficiency of Jakarta's Mass Rapid Transit System with XGBoost Algorithm for Passenger Prediction". Jambura Journal of Informatics 5, n.º 1 (27 de abril de 2023): 1–6. http://dx.doi.org/10.37905/jji.v5i1.18814.
Texto completoLiu, Linxiang, Yuan Nie, Qi Liu y Xuan Zhu. "A Practical Model for Predicting Esophageal Variceal Rebleeding in Patients with Hepatitis B-Associated Cirrhosis". International Journal of Clinical Practice 2023 (3 de agosto de 2023): 1–11. http://dx.doi.org/10.1155/2023/9701841.
Texto completoGuo, Jiang, Chen Zhang, Shoudong Xie y Yi Liu. "Research on the Prediction Model of Blasting Vibration Velocity in the Dahuangshan Mine". Applied Sciences 12, n.º 12 (8 de junio de 2022): 5849. http://dx.doi.org/10.3390/app12125849.
Texto completoYuan, Jianming. "Predicting Death Risk of COVID-19 Patients Leveraging Machine Learning Algorithm". Applied and Computational Engineering 8, n.º 1 (1 de agosto de 2023): 186–90. http://dx.doi.org/10.54254/2755-2721/8/20230122.
Texto completoLi, Mingguang, Runyi Huang y Yumiao Yang. "Short-term wind speed prediction based on combinatorial prediction model". Highlights in Science, Engineering and Technology 60 (25 de julio de 2023): 274–82. http://dx.doi.org/10.54097/hset.v60i.10534.
Texto completoLi, Xiangcheng, Jialong Wang, Zhirui Geng, Yang Jin y Jiawei Xu. "Short-term Wind Power Prediction Method Based on Genetic Algorithm Optimized XGBoost Regression Model". Journal of Physics: Conference Series 2527, n.º 1 (1 de junio de 2023): 012061. http://dx.doi.org/10.1088/1742-6596/2527/1/012061.
Texto completoKuthe, Annaji, Chaitanya Bhake, Vaibhav Bhoyar, Aman Yenurkar, Vedant Khandekar y Ketan Gawale. "Water Quality Prediction Using Machine Learning". International Journal of Computer Science and Mobile Computing 12, n.º 4 (30 de abril de 2023): 52–59. http://dx.doi.org/10.47760/ijcsmc.2023.v12i04.006.
Texto completoMeng, Delin, Jun Xu y Jijun Zhao. "Analysis and prediction of hand, foot and mouth disease incidence in China using Random Forest and XGBoost". PLOS ONE 16, n.º 12 (22 de diciembre de 2021): e0261629. http://dx.doi.org/10.1371/journal.pone.0261629.
Texto completoLin, Xiaoxuan, Lixin Chen, Defu Zhang, Shuyu Luo, Yuanyuan Sheng, Xiaohua Liu, Qian Liu et al. "Prediction of Surgical Approach in Mitral Valve Disease by XGBoost Algorithm Based on Echocardiographic Features". Journal of Clinical Medicine 12, n.º 3 (2 de febrero de 2023): 1193. http://dx.doi.org/10.3390/jcm12031193.
Texto completoDing, Chao, Yuwen Guo, Qinqin Mo y Jin Ma. "Prediction Model of Postoperative Severe Hypocalcemia in Patients with Secondary Hyperparathyroidism Based on Logistic Regression and XGBoost Algorithm". Computational and Mathematical Methods in Medicine 2022 (25 de julio de 2022): 1–7. http://dx.doi.org/10.1155/2022/8752826.
Texto completoMoore, Alexander y Max Bell. "XGBoost, A Novel Explainable AI Technique, in the Prediction of Myocardial Infarction: A UK Biobank Cohort Study". Clinical Medicine Insights: Cardiology 16 (enero de 2022): 117954682211336. http://dx.doi.org/10.1177/11795468221133611.
Texto completoXu, Jialing, Jingxing He, Jinqiang Gu, Huayang Wu, Lei Wang, Yongzhen Zhu, Tiejun Wang, Xiaoling He y Zhangyuan Zhou. "Financial Time Series Prediction Based on XGBoost and Generative Adversarial Networks". International Journal of Circuits, Systems and Signal Processing 16 (15 de enero de 2022): 637–45. http://dx.doi.org/10.46300/9106.2022.16.79.
Texto completoJin, Deyan. "Risk Prediction Method of Obstetric Nursing Based on Data Mining". Contrast Media & Molecular Imaging 2022 (24 de agosto de 2022): 1–11. http://dx.doi.org/10.1155/2022/5100860.
Texto completoDai, Hongbin, Guangqiu Huang, Huibin Zeng y Fan Yang. "PM2.5 Concentration Prediction Based on Spatiotemporal Feature Selection Using XGBoost-MSCNN-GA-LSTM". Sustainability 13, n.º 21 (1 de noviembre de 2021): 12071. http://dx.doi.org/10.3390/su132112071.
Texto completoNarvekar, Aditya y Debashis Guha. "Bankruptcy prediction using machine learning and an application to the case of the COVID-19 recession". Data Science in Finance and Economics 1, n.º 2 (2021): 180–95. http://dx.doi.org/10.3934/dsfe.2021010.
Texto completoKartina Diah Kusuma Wardani y Memen Akbar. "Diabetes Risk Prediction using Feature Importance Extreme Gradient Boosting (XGBoost)". Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 7, n.º 4 (12 de agosto de 2023): 824–31. http://dx.doi.org/10.29207/resti.v7i4.4651.
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