Tag: SHAP

A multicenter study shows that an AI model combining multi-phase CT radiomics with clinical data can accurately distinguish benign from ...

A two-stage machine learning framework can predict health insurance claim denials before submission and assign likely reason codes, achieving a ...

A two-stage imaging and deep learning framework detects and grades infestations of four greenhouse pests, distilling 248 spectral bands into ...

A machine learning model built from routine MRI features distinguished patients with degenerative lumbar spondylolisthesis who needed surgery from those ...

A spatiotemporal attention network that reads fNIRS blood-oxygen signals while patients listen to music classifies levels of consciousness with 88.72 ...

A multi-region computer vision framework uses YOLO detection, depth estimation and explainable AI to extract anatomical features for automated body ...

A machine learning analysis of 799 adolescents identifies stress level, social media duration, and notification frequency as the strongest predictors ...

An interpretable machine-learning framework trained on electro-thermal finite-element simulations predicts hidden temperature rise in bolted switchgear busbar joints, with XGBoost ...

A unified empirical audit of five blockchain and DeFi data sources finds a Gini coefficient of 0.985 for protocol-level Total ...

A new explainable reinforcement learning framework called XEACH extends the lifetime of smart-city IoT sensor networks by up to 88 ...