Results 181 to 190 of about 35,984 (255)
A novel parametric predictive bootstrap method
Abdulrahman M. A. Aldawsari +2 more
openaire +1 more source
Objective To develop, externally validate, and simplify a machine learning model to predict remission between 6 and 24 months in patients with rheumatoid arthritis (RA) initiating tumor necrosis factor inhibitors, JAK inhibitors, interleukin‐6 inhibitors, abatacept, or rituximab using data from 11 international registries in the JAK‐pot collaboration ...
Zubeyir Salis +22 more
wiley +1 more source
Predicting Individual Risk of Advanced Adenoma Based on the Interval-Censored Recurrent Adenoma Event and Informative Screening Time. [PDF]
Wei Y +4 more
europepmc +1 more source
Objective Axial spondyloarthritis (axSpA) and psoriatic arthritis (PsA) are overlapping yet distinct conditions within the spondyloarthritis (SpA) spectrum. As divergent immunophenotypes may influence disease course and therapeutic response, we compared immune cell subsets, cytokine profiles, and inflammatory mediators.
Natalie Frede +11 more
wiley +1 more source
Multimodal Biometric Framework for Evaluating Emotional Impact of Chromatic Manipulation in Cinematic Content. [PDF]
Del-Valle-Soto C +7 more
europepmc +1 more source
Abstract Multimodal large language models (LLMs) are now deeply integrated into medical education and widely used by medical students, yet it remains unclear whether current models possess the accuracy and reliability needed to support image‐based learning.
Ming Lu, Josiah Cheng, Vinod Gopalan
wiley +1 more source
Confidence Estimation via the Parametric Bootstrap in Logistic Joinpoint Regression. [PDF]
Gill R, Rempala GA, Czajkowski M.
europepmc +1 more source
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
Incremental refinement of relevance rankings: Balancing relevance depth and scope
Abstract Delivering both relevant and topically diverse results is a key challenge in information retrieval (IR). This study introduces a hybrid method that incrementally refines rankings by combining probabilistic topic modeling (latent dirichlet allocation [LDA]) with citation‐based pennant retrieval grounded in Relevance Theory (RT), optimizing for ...
Müge Akbulut, Yaşar Tonta
wiley +1 more source
Comparing effect latencies in the visual world paradigm: Monte Carlo simulations to assess resampling-based procedures. [PDF]
Minor S.
europepmc +1 more source

