Tag: SHAP

A hybrid multilevel and machine learning analysis of Ghana's 2022 Demographic and Health Survey identifies nine high-confidence predictors of childhood ...

An interpretable machine learning model built on the Minority Stress Model identified depression risk among men who have sex with ...

A machine learning study of 532 older cancer patients with PICCs found that simple logistic regression outperformed complex algorithms at ...

A clinical-radiomics machine learning model can detect hypoxic-ischemic encephalopathy in term newborns whose conventional MRI scans appear visually normal, achieving ...

Malaysian researchers have built a hybrid CNN-LSTM traffic forecasting system that pairs deep learning accuracy with Formal Concept Analysis to ...

A machine learning framework classifies patients across three diabetes stages with 98.7% accuracy while explaining exactly which clinical variables drove ...

A new study combines Double Machine Learning, explainable AI, and blockchain-based data governance to build a macroeconomic forecasting framework that ...

A new study tests whether trade, governance and environmental tax indicators can classify national CO2 emission levels, and finds that ...

Interpretable machine learning models predict 7-, 14-, and 28-day mortality in sepsis-associated liver injury, outperforming modified SOFA and MELD-Na in ...

An interpretable machine learning model trained on European injury surveillance data can identify emergency department patients whose records show documented ...