Oncology Nurse Advisor

Machine Learning Model Predicts Nutritional Risk in Nasopharyngeal Carcinoma

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
IEEE

NN-XGBoost: Nearest-Neighbor eXtreme Gradient Boosting for Temporal Downscaling and Prediction

Abstract: Accurate forecasting of Downward Shortwave Radiation (DSWR) and other climate data is crucial for applications in renewable energy, agriculture, and environmental research. There are many ...
Frontiers

Predicting food prices in Kenya using machine learning: a hybrid model approach with XGBoost and gradient boosting

Introduction: Food price volatility continues to be a significant concern in Kenya's economic development, posing challenges to the country's economic stability. Methodology: This study examines the ...
IEEE

Traffic Control and Accuracy Improvement of Intrusion Detection in Network using XGBoost Algorithm in Comparison with Gradient Boosting Algorithm

Abstract: Aim: The study aims regulate network traffic and enhance the accuracy of intrusion detection using the XG Boost algorithm compared to the Gradient Boosting algorithm with a range of 50 to ...
AOL

How to Repot a Fruit Tree Without Harming It—and Boost Your Harvests for Years to Come

Container fruit trees are a lovely way for those who have a smaller garden to grow their own lemons, figs, and more. However, over time, these trees will eventually outgrow their home and need to be ...
Scientific Research Publishing

Sahin, E.K. (2020) Assessing the Predictive Capability of Ensemble Tree Methods for Landslide Susceptibility Mapping Using XGBoost, Gradient Boosting Machine, and Random Forest ...

ABSTRACT: Background: Treatment-resistant depression (TRD) poses significant clinical challenges, with many patients inadequately responding to augmentation strategies like aripiprazole. Pramipexole, ...
Scientific Research Publishing

Extra Trees Model for Heart Disease Prediction ()

1 Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria. 2 Computer Science Department, Adeleke University, Ede, Osun State, Nigeria. 3 Department of Applied Mathematics, ...
Frontiers

Identification of Orphan Genes in Unbalanced Datasets Based on Ensemble Learning

Orphan genes are associated with regulatory patterns, but experimental methods for identifying orphan genes are both time-consuming and expensive. Designing an accurate and robust classification model ...