RMD Open

Development and assessment of an assisted diagnosis model using machine learning for identifying adult-onset Still’s disease in fever of unknown origin: a retrospective …

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
IEEE

Influence-Balanced XGBoost: Improving XGBoost for Imbalanced Data Using Influence Functions

Abstract: Decision tree boosting algorithms, such as XGBoost, have demonstrated superior predictive performance on tabular data for supervised learning compared to neural networks. However, recent ...
British Journal of Ophthalmology

Identifying patients with poor visual outcomes after primary rhegmatogenous retinal detachment surgery using machine learning

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

Wastewater management reverses widespread freshwater deoxygenation in China

Freshwater ecosystems worldwide have been suffering from declining oxygen levels—a trend known as deoxygenation—that ...
IEEE

Modification of the XGBoost Machine Learning Algorithm for Sales Forecasting

Abstract: This article examines approaches to regularization and mitigating the impact of data anomalies using the XGBoost algorithm as an example. The objective of the study is to develop and ...