Results 181 to 190 of about 392,357 (290)
Objective The objectives of this study were to evaluate the correlation and agreement between ultrasonography and computed tomography (CT) in measuring ascending aorta diameter in patients with giant cell arteritis (GCA) and to investigate the development of new ascending aortic aneurysms in patients with newly diagnosed GCA.
Anne C. Bull Haaversen +4 more
wiley +1 more source
EncoderMap III: A Dimensionality Reduction Package for Feature Exploration in Molecular Simulations. [PDF]
Sawade K, Lemke T, Peter C.
europepmc +1 more source
Sex differences in medication discontinuation in axial spondyloarthritis.
Objective We examined sex differences in medication discontinuation among patients with axial spondyloarthritis (axSpA) initiating tumor necrosis factor inhibitors (TNFi), interleukin‐17 inhibitors (IL‐17i), or Janus kinase inhibitors (JAKi). Methods Using data from the Rheumatology Informatics System for Effectiveness (RISE) Registry (2003–2025), we ...
Rachael Stovall +9 more
wiley +1 more source
Enhanced intrusion detection in cybersecurity through dimensionality reduction and explainable artificial intelligence. [PDF]
Alamro H +7 more
europepmc +1 more source
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
Randomized Spatial PCA (RASP): A computationally efficient method for dimensionality reduction of high-resolution spatial transcriptomics data. [PDF]
Gingerich IK, Goods BA, Frost HR.
europepmc +1 more source
A Multi-step Nonlinear Dimension-reduction Approach with Applications to Bigdata
R. Krishnan +2 more
openalex +1 more source
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
Big data dimensionality reduction-based supervised machine learning algorithms for NASH diagnosis. [PDF]
Tutsoy O, Ozturk HA, Sumbul HE.
europepmc +1 more source

