Results 191 to 200 of about 17,455,412 (293)
Correction: MultiFAR: Multidimensional information fusion with attention-driven representation learning for student performance prediction. [PDF]
Fazil M, Albahlal BM.
europepmc +1 more source
ABSTRACT Background Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) is a minimally invasive therapy for drug‐resistant focal epilepsy. However, the relationship between specific seizure‐onset patterns (SOPs), particularly low‐voltage fast activity (LVFA), and postoperative scalp EEG normalization remains inadequately ...
Yi‐qing Yang +6 more
wiley +1 more source
CPI-MIF: Compound-Protein Interaction Prediction with Multiview Information Fusion. [PDF]
Zhang Y +6 more
europepmc +1 more source
Parkinson Disease Subtype Stability and Eventual Convergence
ABSTRACT Objective Previous research identified distinct Parkinson disease (PD) clinical subtypes of “Motor Only,” “Psychiatric & Motor,” and “Cognitive & Motor” based on comprehensive, multidomain classification. Whether these subtypes reflect distinct trajectories or progressive disease stages remains unknown.
Laura M. Rosok +10 more
wiley +1 more source
RTCC-Net: tropical cyclone generation classification model based on multi-source information fusion. [PDF]
Tian W, Li X, Fan J, Zhao H.
europepmc +1 more source
Objective Race and household income impact outcomes in patients with rheumatic conditions; however, their role in pediatric antineutrophil cytoplasmic antibody (ANCA)–associated vasculitis (AAV) remains poorly understood. We aimed to evaluate whether race and ethnicity and household income are associated with severe AAV disease and renal outcomes among
Roberto Alejandro Valdovinos +2 more
wiley +1 more source
Intelligent fault diagnosis based on multi-source information fusion and attention-enhanced networks. [PDF]
Tong C, Chen L, Zhang J, Zhao Z.
europepmc +1 more source
Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns
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
Gear fault diagnosis of wind turbine drivetrains using multi-source information fusion and ensemble learning in a simulation bench study. [PDF]
Kang X, Shao L, Zhao B.
europepmc +1 more source

