Results 111 to 120 of about 1,243,089 (305)
Arthritis Care &Research, Accepted Article.Objective We developed a novel EHR sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk +16 more
wiley +1 more source
ada: An R Package for Stochastic Boosting [PDF]
Boosting is an iterative algorithm that combines simple classification rules with "mediocre" performance in terms of misclassification error rate to produce a highly accurate classification rule. Stochastic gradient boosting provides an enhancement which
George Michailides +2 more
core +1 more source
International Journal of Adaptive Control and Signal Processing, EarlyView.This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
UltraFeedback: Boosting Language Models with High-quality Feedback
arXiv.org, 2023 Ganqu Cui +8 more
semanticscholar +1 more source
Advanced Engineering Materials, EarlyView.Mesoporous bioactive glass nanoparticles (MBGNs) are investigated for bone regeneration given their remarkable structural and functional properties. MBGNs are functionalized with Mn and Cu and incorporated with quercetin, a natural flavonoid exhibiting antioxidant, anti‐inflammatory, and antimicrobial properties.
Giovanni Lo Bello +5 more
wiley +1 more source
A Boosting Algorithm for Estimating Generalized Propensity Scores with Continuous Treatments
Journal of Causal Inference, 2015 In this article, we study the causal inference problem with a continuous treatment variable using propensity score-based methods. For a continuous treatment, the generalized propensity score is defined as the conditional density of the treatment-level ...
Zhu Yeying +2 more
doaj +1 more source
Effects of Carbon Nanoparticles on Triboelectro‐Induced Surface Defects
Advanced Engineering Materials, EarlyView.Carbon nanoparticles added to grease modify the electrocontact behavior. The synergy of particle concentration and electric current dominates the surface damage of metals in contact. Electrical surface damage caused by current leakage is a critical challenge in high‐performance applications such as electric vehicle (EV) drivetrains and wind turbine ...
Mohsen Tajedini +6 more
wiley +1 more source
CLASSIFYING LIVER DISEASE WITH BOOSTING MACHINE LEARNING APPROACHES
Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi DergisiLiver diseases pose a significant global health challenge due to their impact on metabolic function and the difficulty of early detection. Traditional diagnostic methods such as liver biopsy have limitations due to their invasive nature and high costs ...
Ümit Yılmaz, Erol Özçekiç
doaj +1 more source
Advanced Functional Materials, EarlyView.In this work, a magnetic core‐shell catalyst (HOF‐on‐Fe3O4/ZIF‐67) is successfully synthesized, consisting of a metal–organic framework (ZIF‐67) with magnetic Fe3O4 as the core and a porous hydrogen‐bonded organic framework (HOF) as the shell. The catalyst efficiently activated peroxymonosulfate, resulting in rapid and effective removal of water ...
Yingying Du +4 more
wiley +1 more source
Enhancing Migraine Classification Through Machine Learning: A Comparative Study of Ensemble Methods
TechnologiesA migraine is a common and complex neurological disorder affecting more than 90% of people globally. Traditional migraine diagnostic and classification methods are time-intensive and prone to error.
Raniya R. Sarra +3 more
doaj +1 more source