Results 1 to 10 of about 53,639 (265)

Applying explainable artificial intelligence to interpret supervised ensemble learning models for robust credit card fraud detection. [PDF]

Sci Rep
Awad SS, Hamza AA, Sobh MA, Bahaa-Eldin AM.   +3 more
europepmc   +1 more source

Predicting unfavorable tuberculosis outcomes using machine learning: a prospective cohort. [PDF]

Trop Med Health
Lee T, Choi I, Lee H, Kim HW, Lee EG, Park Y, Jung SS, Kim JW, Oh JY, Lee H, Kim SH, Kim SH, Lyu J, Kwon SJ, Jeong YJ, Koo HK, Kim JS, Min J.   +17 more
europepmc   +1 more source

Machine learning-based risk prediction of overt hepatic encephalopathy after transjugular intrahepatic portosystemic shunt in patients with cirrhosis: a cohort study. [PDF]

Front Med (Lausanne)
Song L, Qiao X, Gao L, Sun Y, Feng D, Yang H.   +5 more
europepmc   +1 more source

Machine Learning-Based Prediction Model for 30-Day Emergency Department Revisits in a Medically Underserved Tertiary Hospital: Formative Retrospective Cohort Study. [PDF]

JMIR Form Res
Sun K.
europepmc   +1 more source

Machine learning for Alzheimer's disease progression under extreme class imbalance. [PDF]

Front Neurosci
Akinwumi PO, Qian M, Olorunsogbon TA, Zhou C, Huang S.   +4 more
europepmc   +1 more source

Explainable artificial intelligence-driven ensemble learning for asthma risk prediction using machine and deep learning. [PDF]

J Int Med Res
Druvo MMR, Islam A, Chowdhury A, Mohi Uddin KM.   +3 more
europepmc   +1 more source

Anthropometrics, physical fitness, and sport-specific performance of young German canoe sprint athletes (U13-U17) to predict senior performance level: a machine-learning approach. [PDF]

Sci Rep
Saal C, Teunissen JW, Granacher U, Helm N, Warnke T, Prieske O.   +5 more
europepmc   +1 more source

Marketing analytics in banking 4.0: A two-stage explainable AI framework for high-accuracy and well-calibrated predictions. [PDF]

PLoS One
Nasir F, Ali Ahmed A, Yevseyeva I, Kiraz MS.   +3 more
europepmc   +1 more source

Hepatic Steatosis Severity Prediction in Nonobese Individuals: Machine Learning Model Development and Validation. [PDF]

J Med Internet Res
Zhu Y, Wang Y, Zhang S, Yang J, Zhang F, Liu Y, Shang J, Zhang Y, Wang J, Liu L.   +9 more
europepmc   +1 more source

Individual-Tree DBH Estimation from Airborne LiDAR Data Using MSFS-XGBoost. [PDF]

Sensors (Basel)
Li P, Jia Y.
europepmc   +1 more source