Nature

XGBoost based machine learning prediction model for major adverse cardiovascular events ...

ST-segment elevation myocardial infarction (STEMI) demands urgent reperfusion. Despite major strides in percutaneous coronary intervention (PCI), major adverse cardiovascular events (MACE) persist, ...
ログミ

機械学習における勾配ブースティングのアルゴリズム「XGBoost ...

データアナリスト／データサイエンティストのためのカジュアルな勉強会「Data Gateway Talk」。「GBDTアルゴリズム」というテーマで登壇した工学院大学情報学部コンピュータ科学科のYasshieeee氏は、勾配ブースティングの基本、そしてアルゴリズム「XGBoost ...
Nature

Development and validation of a machine learning model for cardiovascular disease risk ...

Patients with type 2 diabetes mellitus (T2DM) have a significantly higher risk of cardiovascular disease (CVD) compared to the general population. Accurately predicting this risk is crucial for ...
EurekAlert!

Intelligent XGBoost framework enhances asphalt pavement skid resistance assessment

To overcome these limitations, the Sustainable Asphalt Research Group from Universiti Sains Malaysia (USM), in collaboration with institutions from China and Australia, has introduced an intelligent ...