mp.pl

Comparison of an interpretable extreme gradient boosting model and an artificial neural network model for prediction of severe acute pancreatitis

Introduction: Acute pancreatitis (AP) that progresses to persistent organ failure is referred to as severe acute pancreatitis (SAP). It is a condition associated with a relatively high mortality. A ...
Visual Studio Magazine

Data Anomaly Detection Using LightGBM

LightGBM (lightweight gradient boosting machine) is a sophisticated, open-source, tree-based system introduced in 2017. LightGBM can perform multi-class classification (predict one of three or more ...
Scientific Research Publishing

Analysis of Decision Support Systems (DSS) Integration with AI Using Mobile Health (m-Health) and Wearables ()

Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...
insideHPC

Video Highlights: Gradient Boosting: XGBoost, LightGBM and CatBoost — with Kirill Eremenko

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by Kirill Eremenko to walk listeners through why decision ...