Results 131 to 140 of about 248,303 (301)

Task-Aligned Transformer Imputation for Long-Horizon Air Quality Forecasting

open access: yesMathematics
Accurate long-horizon air-quality forecasting becomes difficult when historical observations are missing or irregularly sampled because reconstruction errors can propagate into downstream predictions.
Grega Vrbančič   +2 more
doaj   +1 more source

Associations of Frailty With the Risk of Incident Cancer and Cancer‐Related Mortality in Veterans With Rheumatoid Arthritis

open access: yesArthritis Care &Research, EarlyView.
Objective This study investigated the association between frailty and cancer incidence and mortality in patients with rheumatoid arthritis (RA). It aimed to identify how frailty influences cancer risk and cancer‐specific outcomes. Methods This retrospective cohort study analyzed data from the Veterans’ Affairs Rheumatoid Arthritis Registry (2002–2023).
Bhavik Bansal   +12 more
wiley   +1 more source

Optimizing GAIN model to improve AOD imputation using MODIS MAIAC data and multi-source data fusion as an example

open access: yesGIScience & Remote Sensing
Aerosol Optical Depth (AOD) is a crucial parameter for monitoring air quality and studying atmosphere behavior, but satellite-based AOD measurements often suffer from significant gaps due to cloud cover and other obstructions.
Anusha Srirenganathan Malarvizhi   +4 more
doaj   +1 more source

Incidence, Risk Factors and Management of Adverse Events in Contemporary Real‐World Care of Children with Juvenile Idiopathic Arthritis

open access: yesArthritis Care &Research, Accepted Article.
Objective We describe the frequency, risk factors, severity, and management of actionable and serious adverse events (AAE and SAE) in children with newly diagnosed Juvenile Idiopathic Arthritis (JIA) in Canada. Methods We enrolled patients within 3 months of JIA diagnosis in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry,
Bashayer Alnuaimi   +10 more
wiley   +1 more source

Real‐World Effectiveness and Safety of Secukinumab in Giant Cell Arteritis: An Italian Multicenter Cohort Study

open access: yesArthritis Care &Research, EarlyView.
Objective The objective of this study was to evaluate the real‐world effectiveness and safety of secukinumab in patients with giant cell arteritis (GCA). Methods This multicenter retrospective study included patients with GCA who received secukinumab at 14 Italian centers with at least six months of follow‐up.
Luca Iorio   +28 more
wiley   +1 more source

Entropy Guided Benchmarking of Classical and Generative Imputation Methods for High-Dimensional Healthcare Survey Data

open access: yesApplied Sciences
Missing data are a persistent challenge in large healthcare datasets, often undermining both statistical validity and machine learning performance when handled using simplistic assumptions. In this work, we examine how entropy-based diagnostics can guide
Deepa Fernandes Prabhu   +2 more
doaj   +1 more source

Unsupervised Machine Learning Identifies Shared Biomechanical and Clinical Variation in Individuals with Knee Osteoarthritis and High BMI: A Secondary Analysis of the IDEA Trial

open access: yesArthritis Care &Research, Accepted Article.
Objective High body mass index (BMI≥27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck   +10 more
wiley   +1 more source

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

open access: yesAdvanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose   +7 more
wiley   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

open access: yesAdvanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

MANOVA modelling of a chiropractic longitudinal study using multiple imputation [PDF]

open access: yes, 2012
The purpose of this report is to present the detailed statistical analysis of a randomised, placebo-controlled trial comparing two different treatment modalities to an intervention of no known benefit for people with acute or subacute thoracic spine pain.
Clarke, B.R., Bowden, R.S., Walker, B.F.
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