Výsledky vyhľadávania - "Machine Learning XGBoost Algorithm"

Enhancing the prediction of student performance based on the machine learning XGBoost algorithm Autor Asselman, Amal, Khaldi, Mohamed, Aammou, Souhaib

“…Performance Factors Analysis (PFA) is considered one of the most important Knowledge Tracing (KT) approaches used for constructing adaptive educational…”
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Forecasting short-term chlorophyll a concentration in Lake Erie using the machine learning XGBoost algorithm Autor Song, Yang

“…Harmful algal blooms are becoming increasingly prevalent due to climate warming and eutrophication. Leveraging machine learning tools to forecast algal blooms…”
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Estimation of Unmeasured Room Temperature, Relative Humidity, and CO2 Concentrations for a Smart Building Using Machine Learning and Exploratory Data Analysis Autor Kaligambe, Abraham, Fujita, Goro, Keisuke, Tagami

“…Smart buildings that utilize innovative technologies such as artificial intelligence (AI), the internet of things (IoT), and cloud computing to improve comfort…”
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A Retail Product Prediction Model Incorporating Machine Learning and Propensity Score Matching Method Autor Chen, Kaidi, Liang, Xuexia, Mo, Yuhua, Li, Yuankun, Xu, Liangben, Kong, Weili

“…Existing machine learning methods for retail product sales forecasting often rely on their own time series data and tend to ignore the correlation between the…”
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Abbreviated Duke Activity Status Index for Risk Stratification in Heart Failure Autor Augusto, Silvio Nunes, Wu, Yuping, Chaikijurajai, Thanat, Hazen, Stanley L., Tang, W. H. Wilson

“…) with the machine learning XGBoost algorithm, with the goal of maintaining…”
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Development and Validation of a Diabetic Retinopathy Risk Stratification Algorithm Autor Tarasewicz, Dariusz, Karter, Andrew J, Pimentel, Noel, Moffet, Howard H, Thai, Khanh K, Schlessinger, David, Sofrygin, Oleg, Melles, Ronald B

“…Although diabetic retinopathy is a leading cause of blindness worldwide, diabetes-related blindness can be prevented through effective screening, detection,…”
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Machine learning integration of multimodal data identifies key features of blood pressure regulation Autor Louca, Panayiotis, Tran, Tran Quoc Bao, Toit, Clea du, Christofidou, Paraskevi, Spector, Tim D., Mangino, Massimo, Suhre, Karsten, Padmanabhan, Sandosh, Menni, Cristina

“… We used 5-fold cross-validation with the machine learning XGBoost algorithm to identify features of importance in context of one another in TwinsUK (80% training, 20% test…”
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Frequent Emergency Medical Services Utilization Among Older Patients: Exploration and Automatic Identification Using Natural Language Processing Autor Pouw, Maaike A, Dijkstra, Hidde, Kőntőș, Eduard-Raul, de Jonghe, Annemarieke, Dercksen, Bert, Maruster, Laura, van der Zee, Durk-Jouke, van Munster, Barbara C

“…An ageing population is associated with increased health care utilization and higher likelihood of older adults becoming frequent users of emergency medical…”
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Predicting Non-Alcoholic Steatohepatitis: A Lipidomics-Driven Machine Learning Approach Autor Mouskeftara, Thomai, Kalopitas, Georgios, Liapikos, Theodoros, Arvanitakis, Konstantinos, Germanidis, Georgios, Gika, Helen

“…Nonalcoholic fatty liver disease (NAFLD), nowadays the most prevalent chronic liver disease in Western countries, is characterized by a variable phenotype…”
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Knowledge Discovery on Cryptocurrency Exchange Rate Prediction Using Machine Learning Pipelines Autor Shahbazi, Zeinab, Byun, Yung-Cheol

“…The popularity of cryptocurrency in recent years has gained a lot of attention among researchers and in academic working areas. The uncontrollable and…”
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Mapping recent timber harvest activity in a temperate forest using single date airborne LiDAR surveys and machine learning: lessons for conservation planning Autor Fisher, G. Burch, Elmore, Andrew J., Fitzpatrick, Matthew C., McNeil, Darin J., Atkins, Jeff W., Larkin, Jeffery L.

“…, managers require knowledge of harvest frequency and extent in adjacent forests and at landscape scales. In this paper, we develop a timber harvest mapping workflow using machine learning…”
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Association between vitamin D3 levels and frailty in the elderly: A large sample cross-sectional study Autor Zheng, Zitian, Xu, Wennan, Wang, Fei, Qiu, Yudian, Xue, Qingyun

“…Frailty is recognized as a cornerstone of geriatric medicine. Accurately screening and identifying frailty can promote better quality and personalized medical…”
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Development of a machine learning-based model to predict prognosis of alpha-fetoprotein-positive hepatocellular carcinoma Autor Dong, Bingtian, Zhang, Hua, Duan, Yayang, Yao, Senbang, Chen, Yongjian, Zhang, Chaoxue

“…Background Patients with alpha-fetoprotein (AFP)-positive hepatocellular carcinoma (HCC) have aggressive biological behavior and poor prognosis. Therefore,…”
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The predictive value of dynamic changes of neutrophil/lymphocyte ratio (NLR) combined with the model of end-stage liver disease (MELD) score in patients with acute-on-chronic hepatitis B liver failure Autor Wu, Y P, Yang, X Y, Lyu, L, Zhao, Z H, Tian, Y X, Li, F C, Wang, K, Fan, Y C

“…To determine the predictive value of dynamic changes of neutrophil/lymphocyte ratio (NLR) combined with the model of end-stage liver disease (MELD) score in…”
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Dynamic evaluation of a COVID-19 death prediction model using Extreme Gradient Boosting Predictive Model/Modelo preditivo de avaliaçao dinâmica de morte por COVID-19 usando Extreme Gradient Boosting/Evaluacion dinámica de un modelo de prediccion de muertes por COVID-19 utilizando modelo Extreme Gradient Boosting Autor Prado, Jose Carlos, Evsukoff, Alexandre, Andrade Medronho, Roberto de

“…The COVID-19 pandemic has evolved dynamically with the emergence of new variants and an increase in vaccination coverage. Given the high fatality rate of…”
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Early Diagnosis of Parkinson's Disease with Speech Pronunciation Features Based on XGBoost Model Autor Wang, Xiumei, Chen, Xinghong, Wang, Qinga, Chen, Guannan

“…Speech disorder is one of the early symptoms of Parkinson's disease. In order to accurately diagnose the Parkinson's disease in early time, we propose a Parkinson's disease diagnosis method based on machine learning…”
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Analysis of mobile phone use engagement during naturalistic driving through explainable imbalanced machine learning Autor Ziakopoulos, Apostolos, Kontaxi, Armira, Yannis, George

“…•This research explores factors influencing mobile phone use in naturalistic driving.•A smartphone application with 6 feedback phases was the basis for data…”
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