Results 111 to 120 of about 23,776,838 (246)
Gaussian mixture based semi supervised boosting for imbalanced data classification
, 2017 Semi supervised approaches are practical in problem domain where pattern clustering is supposed to provide good classification. Gaussian Mixture Model (GMM) can approximate arbitrary probability distribution, thus is considered as a dominant tool for ...
Paul, MK, Pal, B
core +1 more source
Anticoagulation Treatment Response Among Phenotypic ESUS Clusters: Evidence From CASPR
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To evaluate treatment effect heterogeneity across phenotypic clusters of patients with cryptogenic embolic stroke using causal inference methods. Methods From a retrospective, multicenter cohort of patients with cryptogenic embolic stroke, we estimated the treatment effect of anticoagulation versus antiplatelet therapy in patients ...
Elena Badillo Goicoechea +53 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective Obesity, defined by body mass index (BMI) ≥30 kg/m2, is a risk factor for functional limitations in people with knee osteoarthritis (OA). However, function varies among such individuals. Our objective was to evaluate the implications of obesity subtypes on longitudinal patterns of physical functioning in people with or at risk for knee OA ...
Kristine Godziuk +7 more
wiley +1 more source
BUILDING CLASSIFICATION MODELS FROM IMBALANCED FRAUD DETECTION DATA
Malaysian Journal of Computing, 2014 Many real-world data sets exhibit imbalanced class distributions in which almost all instances are assigned to one class and far fewer instances to a smaller, yet usually interesting class. Building classification models from such imbalanced data sets is
Terence Yong Koon Beh +2 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective The concern that nonsteroidal anti‐inflammatory drugs (NSAIDs) may precipitate flares of inflammatory bowel disease (IBD) has limited their use in managing musculoskeletal symptoms in those with IBD, but safety data are mixed. Methods This retrospective cohort study included patients with IBD aged at least 18 years from Optum's deidentified ...
Adam S. Mayer +4 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective Although the definition of a gout flare is well established, the state of gout flare resolution has not yet been defined. This study aimed to explore patients’ experiences and perceptions of gout flare resolution. Methods Semistructured interviews were conducted with 24 people with gout, guided by open‐ended questions exploring their ...
Sarah Stewart +5 more
wiley +1 more source
A novel Neutrosophic Transformer for handling imbalanced data
Journal of King Saud University: Computer and Information SciencesIn complex engineering environments, the majority of collected data predominantly comprises samples from normal operating conditions, leading to highly imbalanced datasets characterized by a scarcity of minority-class samples.
Xingtao Wu +4 more
doaj +1 more source
The Gut–Heart Axis in Systemic Sclerosis: Evidence From a Large Prospective Early Disease Cohort
Arthritis Care &Research, EarlyView.Objective Cardiac involvement significantly impacts prognosis in systemic sclerosis (SSc), highlighting the need for early risk stratification. Gastrointestinal (GI) symptoms are common and often manifest early. Emerging data suggest a link between GI and cardiac manifestations, possibly through shared mechanisms like dysautonomia.
Francesca R. Di Ciommo +9 more
wiley +1 more source
β‐Catenin/c‐Myc Axis Modulates Autophagy Response to Different Ammonia Concentrations
Advanced Biology, Volume 9, Issue 3, March 2025.Ammonia, detoxified by the liver into urea and glutamine, impacts autophagy differently at varying levels. Low ammonia activates autophagy via c‐Myc and β‐catenin, while high levels suppress it. Using Huh7 cells and Spf‐ash mice, c‐Myc's role in cytoprotective autophagy is revealed, offering insights into hyperammonemia and potential therapeutic ...
S. Sergio +11 more
wiley +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source