Medical Dialogues

Interpretive models could help predict risk of preoperative DVT in elderly patients with hip fracture: Study

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
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.
Scientific Research Publishing

Trizoglou, P., Liu, X.L. and Lin, Z. (2021) Fault Detection by an Ensemble Framework of Extreme Gradient Boosting (XGBoost) in the Operation of Offshore Wind Turbines ...

ABSTRACT: Microfinance institutions in Kenya play a unique role in promoting financial inclusion, loans, and savings provision, especially to low-income individuals and small-scale entrepreneurs.
Scientific Research Publishing

Liang, W., Luo, S., Zhao, G. and Wu, H. (2020) Predicting Hard Rock Pillar Stability Using GBDT, XGBoost, and LightGBM Algorithms. Mathematics, 8, Article No. 765.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
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 ...
The New York Times

Google’s Quantum Computer Makes a Big Technical Leap

Designed to accelerate advances in medicine and other fields, the tech giant’s quantum algorithm runs 13,000 times as fast as software written for a traditional supercomputer. A quantum computer at ...
Frontiers

Extreme gradient boosting using conventional parameters accurately predicts insulin sensitivity in young and middle-aged Japanese persons

1 Division of Diabetes, Metabolism and Endocrinology, Showa Medical University Fujigaoka Hospital, Yokohama, Japan 2 Division of Endocrinology and Metabolism, Department of Medicine, Jichi Medical ...
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 ...