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Results 71 to 80 of about 82,044 (253)

Mucocutaneous Disease Activity and Damage Accrual in Systemic Lupus Erythematosus: Analyses From the Asia‐Pacific Lupus Collaboration Longitudinal Cohort Study

Arthritis Care &Research, EarlyView.
Objective This research article aims to describe the prevalence, associations, and health‐related quality of life (HRQoL) impact of mucocutaneous features of systemic lupus erythematosus (SLE). Methods Data from the Asia‐Pacific Lupus Collaboration cohort were analyzed (2013–2021).
Amanda M. Saracino +42 more
wiley +1 more source

Drop-in density-aware partitioning for tree-based anomaly detection

Machine Learning: Science and Technology
Unsupervised isolation tree-based anomaly detection methods are widely used for their simplicity, scalability, and strong empirical performance. However, the standard partition rule, whether drawing thresholds uniformly from feature ranges or sampling ...
Sijin Yeom, Jae-Hun Jung
doaj +1 more source

Ensemble Approach Using k-Partitioned Isolation Forests for the Detection of Stock Market Manipulation

Mathematics
Stock market manipulation, defined as any attempt to artificially influence stock prices, poses significant challenges by causing financial losses and eroding investor trust.
Hugo Núñez Delafuente, César A. Astudillo, David Díaz +2 more
doaj +1 more source

Cumulative Social Disadvantage and Disease Activity in Juvenile Idiopathic Arthritis: A Childhood Arthritis and Rheumatology Research Alliance Registry Study

Arthritis Care &Research, EarlyView.
Objective Social determinants of health (SDOH) contribute to juvenile idiopathic arthritis (JIA) disparities, but most studies have assessed SDOH independently rather than cumulatively across individual, family, and neighborhood levels. Using a socioecological framework, we investigated the relationship among cumulative social disadvantage ...
William Daniel Soulsby +448 more
wiley +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source

Anomaly Detection in Network Traffic Using Advanced Machine Learning Techniques

IEEE Access
Anomaly detection in network traffic is a critical aspect of network security, particularly in defending against the increasing sophistication of cyber threats.
Stephanie Ness +5 more
doaj +1 more source

Isolation Forest in Novelty Detection Scenario

CoRR
Data mining offers a diverse toolbox for extracting meaningful structures from complex datasets, with anomaly detection emerging as a critical subfield particularly in the context of streaming or real-time data. Within anomaly detection, novelty detection focuses on identifying previously unseen patterns after training solely on regular data.
Adam Ulrich +4 more
openaire +2 more sources

Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to characterize specific physiologic defects in anorectal dysfunction in systemic sclerosis (SSc) using anorectal manometry (ARM), evaluate associations with gastrointestinal (GI) and extraintestinal clinical phenotypes, and explore potential serologic markers for risk stratification.
Timothy Kaniecki +6 more
wiley +1 more source

A Lightweight AI-Based Approach for Drone Jamming Detection

Future Internet
The future integration of drones in 6G networks will significantly enhance their capabilities, enabling a wide range of new applications based on autonomous operation.
Sergio Cibecchini, Francesco Chiti, Laura Pierucci +2 more
doaj +1 more source

Employment Trajectories of Patients with Systemic lupus erythematosus (SLE) and Factors Driving Transitions Between States

Arthritis Care &Research, Accepted Article.
Objective Systemic lupus erythematosus (SLE) significantly impacts employment capacity. This study aimed to investigate the impact of burden of disease activity, damage, and treatment on employment outcomes and transitions in patients with SLE. Materials and Methods Using data from a single center, we analyzed employment transitions, adjusted mean ...
Javier Mencia‐Ledo +4 more
wiley +1 more source

anomaly detection
machine learning cs.lg
fos: computer and information sciences

computer science - machine learning
statistics - machine learning
machine learning stat.ml

machine learning
autoencoder
unsupervised learning