Interpretable machine learning for identifying ICU readmission risk in subgroups with probabilistic rules. [PDF]
Yang L +3 more
europepmc +1 more source
Interpretable Machine Learning Identifies Hub Biomarkers of Renal Fibrosis and Their Potential Medical Applications. [PDF]
Zhang X +8 more
europepmc +1 more source
Interpretable machine learning classification of cedar and cypress pollen on routine Durham slides for environmental exposure assessment. [PDF]
Suzuki N +4 more
europepmc +1 more source
Toward practical screening of mortality risk: Insights from interpretable machine learning in NHANES. [PDF]
Lin YT, Lin LY, Chuang KJ.
europepmc +1 more source
Interpretable machine learning-based predictive model for fall risk in older adults receiving maintenance hemodialysis. [PDF]
Jiang M, Zhang M.
europepmc +1 more source
Interpretable machine-learning model to accurately identify women at risk of excessive gestational weight gain. [PDF]
He L +5 more
europepmc +1 more source
Decoding FGFR inhibitor sensitivity in cholangiocarcinoma with interpretable machine learning and cross-platform pharmacogenomic validation. [PDF]
Xie Y +5 more
europepmc +1 more source
RETRACTED: Interpretable machine learning framework for predicting Urban air quality. [PDF]
Latif RMA +7 more
europepmc +1 more source
Interpretable machine learning for optimized dimethyl ether production from bio-methanol. [PDF]
Mokari M, Rahmani M, Atashrouz S.
europepmc +1 more source
Clinically oriented dual-tier screening for post-stroke epilepsy with interpretable machine learning in a severely imbalanced cohort. [PDF]
Wu L, Wu H, Xu L, Li J, Wang J.
europepmc +1 more source

