Search Results - "Machine Learning XGBoost Algorithm"

A Solution to the Problem of Retail Credit Risk Pricing Problem Based on the Machine Learning XGBoost Algorithm

Authors: Jingxuan Ma Xin Li Jiajie Guo et al.

Source: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783031861956

Enhancing the Prediction of Student Performance Based on the Machine Learning XGBoost Algorithm

Authors: Asselman, Amal Khaldi, Moham Aammou, Souhaib

Source: Interactive Learning Environments. 2023 31(6):3360-3379.

Peer Reviewed: Y

Page Count: 20

Descriptors: Algorithms, Artificial Intelligence, Factor Analysis, Student Behavior, Accuracy, Prediction, Academic Achievement, Mathematics Instruction, Data Analysis, Middle School Students, High School Students, Physics

Forecasting short-term chlorophyll a concentration in Lake Erie using the machine learning XGBoost algorithm

Authors: Yang Song

Source: Environmental Research Letters, Vol 20, Iss 6, p 064029 (2025)

Subject Terms: feature importance, Science, Physics, QC1-999, artificial intelligence, Environmental technology. Sanitary engineering, Environmental sciences, eutrophication, machine learning, phytoplankton, GE1-350, forecasting technique, TD1-1066

Access URL: https://doaj.org/article/abfa05402ba84987a0ce79dc115e3852

Temperature prediction of high-temperature and high-enthalpy plasma generators based on machine learning.

Authors: Xie, Yanan Jiang, Qihao Gao, Yiyang et al.

Source: Physics of Plasmas; Jan2025, Vol. 32 Issue 1, p1-9, 9p

Subject Terms: AEROSPACE engineering, PLASMA diagnostics, AEROSPACE materials, MANUFACTURING processes, DEBYE temperatures, THERMAL plasmas

Predicting Non-Alcoholic Steatohepatitis: A Lipidomics-Driven Machine Learning Approach.

Authors: Mouskeftara, Thomai Kalopitas, Georgios Liapikos, Theodoros et al.

Source: International Journal of Molecular Sciences; Jun2024, Vol. 25 Issue 11, p5965, 17p

Subject Terms: FATTY liver, NON-alcoholic fatty liver disease, MACHINE learning, LIPID metabolism, LIVER diseases, PLATELET count

Frequent Emergency Medical Services Utilization Among Older Patients:Exploration and Automatic Identification Using Natural Language Processing

Authors: Pouw, Maaike A Dijkstra, Hidde Köntös, Eduard-Raul et al.

Source: Pouw, M A, Dijkstra, H, Köntös, E-R, de Jonghe, A, Derksen, B, Maruster, L, van der Zee, D-J & van Munster, B C 2025, 'Frequent Emergency Medical Services Utilization Among Older Patients : Exploration and Automatic Identification Using Natural Language Processing', Journal of the American Medical Directors Association.

Index Terms: article

URL: https://research.rug.nl/en/publications/b46507be-a522-4c88-b674-4559b234ee54
https://doi.org/10.1016/j.jamda.2025.105814
https://hdl.handle.net/11370/b46507be-a522-4c88-b674-4559b234ee54
https://pure.rug.nl/ws/files/1386199260/article-InPress.pdf
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jamda.2025.105814
info:eu-repo/semantics/altIdentifier/hdl/https://hdl.handle.net/11370/b46507be-a522-4c88-b674-4559b234ee54
info:eu-repo/semantics/altIdentifier/pissn/1525-8610

Development and Validation of a Diabetic Retinopathy Risk Stratification Algorithm.

Authors: Tarasewicz, Dariusz Karter, Andrew J. Pimentel, Noel et al.

Source: Diabetes Care; May2023, Vol. 46 Issue 5, p1068-1075, 8p, 1 Black and White Photograph, 2 Charts, 2 Graphs

Subject Terms: DIABETIC retinopathy, MACHINE learning, DIABETES complications, MACULAR edema, EYE diseases

Company/Entity: KAISER Permanente (Company)

Frequent Emergency Medical Services Utilization Among Older Patients: Exploration and Automatic Identification Using Natural Language Processing.

Authors: Pouw, Maaike A. Dijkstra, Hidde Kőntőș, Eduard-Raul et al.

Source: Journal of the American Medical Directors Association. Nov2025, Vol. 26 Issue 11, pN.PAG-N.PAG. 1p.

Subject Terms: *MEDICAL care use, *RISK assessment, *BOOSTING algorithms, *PATIENTS, *PREDICTION models, *EMERGENCY medical services, *NATURAL language processing, *RETROSPECTIVE studies, *DESCRIPTIVE statistics, *EMERGENCY medicine, *LONGITUDINAL method, *MEDICAL records, *ACQUISITION of data, *RESEARCH, *PREDICTION algorithms, *CALIBRATION, *ACCURACY, *CONFIDENCE intervals, *PREDICTIVE validity, *CRITICAL care medicine, *OLD age

Machine Learning-Based Classification of Prostate Cancer Using Clinical Biomarkers

Authors: Dr. N. Veerasekar Mohamed Asekh A Patrina JR et al.

Source: International Scientific Journal of Engineering and Management. :1-9

Intelligent hardware design for wire status monitoring integrating Beidou GNSS and inertial measurement technology in machine learning environment.

Authors: Jiaxiang, Ou Zerui, Chen Yanhong, Xiao et al.

Source: Australian Journal of Electrical & Electronic Engineering; Dec2025, Vol. 22 Issue 4, p575-586, 12p

Subject Terms: MACHINE learning, LONG short-term memory, BEIDOU satellite navigation system, BOOSTING algorithms, INERTIAL navigation systems

GIS and Machine Learning Integration for Optimized School Site Selection: A Hybrid Framework with TOPSIS and Feature Ranking.

Authors: Başeğmez, Murat Doğan, Ayhan Aydın, Cevdet Coşkun

Source: Applied Spatial Analysis & Policy; Dec2025, Vol. 18 Issue 4, p1-36, 36p

Leadership for Learning: How Principals Influence Teaching Quality and Student.

Authors: Cabral, Aron P. Espiritu, Decimo L.

Source: Psychology & Education: A Multidisciplinary Journal; 2025, Vol. 49 Issue 2, p212-237, 26p

Subject Terms: LEADERSHIP, EDUCATIONAL leadership, SCHOOL principals, EDUCATIONAL change, EFFECTIVE teaching, TRANSFORMATIONAL leadership, ACADEMIC achievement

SMOTE-Optimized Machine Learning Framework for Predicting Retention in Workforce Development Training.

Authors: Alshahrani, Abdulaziz

Source: Computers, Materials & Continua; 2025, Vol. 85 Issue 2, p4067-4090, 24p

Subject Terms: MACHINE learning, EMPLOYEE retention, SCHOOL dropout prevention, PREDICTION models, EMPLOYEE training, TALENT development, DATA analysis

Gamification elements-based engineering students' learning behavior analysis and performance modelling system using ZSH-FUZZY and Deep-JRGNN.

Authors: Joshi, Swati Sharma, Sanjay Kumar

Source: International Journal of Innovative Research & Scientific Studies; 2025, Vol. 8 Issue 6, p1612-1626, 15p

Subject Terms: GAMIFICATION, ENGINEERING students, STATISTICAL accuracy, DATA analysis, LEARNING strategies, FUZZY logic, BEHAVIORAL assessment

Hybrid Machine Learning Meta-Model for the Condition Assessment of Urban Underground Pipes.

Authors: Mohammadagha, Mohsen Najafi, Mohammad Kaushal, Vinayak et al.

Source: Infrastructures; Nov2025, Vol. 10 Issue 11, p282, 24p

Subject Terms: UNDERGROUND pipelines, ENSEMBLE learning, CLASSIFICATION, FEATURE selection, INFRASTRUCTURE (Economics), DATA integrity

Congestion management in distribution system integrating plug-in electric vehicles: A review.

Authors: Das, Bijaya Kumar Deb, Subhasish Goswami, Arup Kumar et al.

Source: Energy Exploration & Exploitation; Nov2025, Vol. 43 Issue 6, p2798-2823, 26p

Triple-Action Therapy: Combining Machine Learning, Docking, and Dynamics to Combat BRCA1-Mutated Breast Cancer.

Authors: Zainulabidin, Ashiru Aliyu Sufyan, Aminu Jibril Thirunavukkarasu, Muthu Kumar

Source: Molecular Biotechnology; Nov2025, Vol. 67 Issue 11, p4289-4304, 16p

Educational data mining for student performance prediction in artificial intelligence environment.

Authors: Tang, Linqiang Chen, Sian

Source: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 5, p1-12, 12p

Subject Terms: DATA mining, FEATURE selection, ACADEMIC achievement, ARTIFICIAL intelligence, GENERALIZATION, ACADEMIC improvement, ENSEMBLE learning, PREDICTIVE validity

Comprehensive predictive analytics for collaborators’ answers, code quality, and dropout: stack overflow case study.

Authors: Zolduoarrati, Elijah Licorish, Sherlock A. Stanger, Nigel

Source: Empirical Software Engineering; Oct2025, Vol. 30 Issue 5, p1-69, 69p

Enhancing PCOS diagnosis accuracy with modified Giza Pyramids Optimizer, SLOGPO, and PCOSNet: advanced classification and optimization techniques.

Authors: Aldosary, Abdallah El-Shafai, Walid Mohamed, Ehab Mahmoud et al.

Source: Cluster Computing; Oct2025, Vol. 28 Issue 5, p1-27, 27p

Subject Terms: CONVOLUTIONAL neural networks, POLYCYSTIC ovary syndrome, ENDOCRINE diseases, MATHEMATICAL optimization, PYRAMIDS, FEATURE selection