Results 101 to 110 of about 447 (169)

Beyond Mean Absolute Error: Ancestry-Stratified Calibration and Explainability for Warfarin Dosing Models. [PDF]

J Pers Med
Barmandah H, Bawazir OA, Marghalani SA, Shaat M, Alkattan AN, AlEissa MM.   +5 more
europepmc   +1 more source

Quantifying the Impact of nuclear data on predictive radiation transport alpha-eigenvalue calculations

In nuclear forensics, information regarding the criticality of a nuclear system is vital to identifying its provenance. Alpha (α) eigenvalues, which describe the logarithmic time derivative of the neutron population in a multiplying system, are integral ...
Huerta, Antonio
core   +2 more sources

A stacking ensemble with Pareto optimization for scalable electricity theft detection via hybrid data repair and lightweight deployment. [PDF]

Sci Rep
Rahaman MA, Mohamad Idris R.
europepmc   +1 more source

Non-linear probabilistic calibration of low-cost environmental air pollution sensor networks for neighborhood level spatiotemporal exposure assessment. [PDF]

J Expo Sci Environ Epidemiol, 2022
Patton A, Datta A, Zamora ML, Buehler C, Xiong F, Gentner DR, Koehler K.   +6 more
europepmc   +1 more source

An explainable artificial intelligence framework for risk prediction of COPD in smokers. [PDF]

BMC Public Health, 2023
Wang X, Qiao Y, Cui Y, Ren H, Zhao Y, Linghu L, Ren J, Zhao Z, Chen L, Qiu L.   +9 more
europepmc   +1 more source

Performance Analysis of Boosting-Based Machine Learning Models for Predicting the Compressive Strength of Biochar-Cementitious Composites. [PDF]

Materials (Basel)
Kim J, Ryu D, Hwan H, Lee H.
europepmc   +1 more source

Exploring key genes in NAFLD linked to glutamine metabolism: A comprehensive analysis combining multi-omics, machine learning and SHAP. [PDF]

Asia Pac J Clin Nutr
Chen C, Liu W, Lan Y, Li F, Li X.
europepmc   +1 more source

Application and utility of boosting machine learning model based on laboratory test in the differential diagnosis of non-COVID-19 pneumonia and COVID-19. [PDF]

Clin Biochem, 2023
Baik SM, Hong KS, Park DJ.
europepmc   +1 more source

"A Hybrid CatBoost–NGBoost Model for Predicting Asthma Attack Risk and Severity from Environmental Triggers"

International Journal of Intelligent Systems and Applications in Engineering
Asthma is a chronic respiratory condition that is highly sensitive to environmental changes such as air pollution, humidity, temperature, and allergen levels. Early prediction of asthma attacks using environmental data can play a critical role in preventing life-threatening episodes and improving patient quality of life.
openaire   +1 more source

From point to probabilistic gradient boosting for claim frequency and severity prediction. [PDF]

Eur Actuar J
Chevalier D, Côté MP.
europepmc   +1 more source