Results 91 to 100 of about 3,902,266 (287)

Is Anonymization Through Discretization Reliable? Modeling Latent Probability Distributions for Ordinal Data as a Solution to the Small Sample Size Problem

open access: yesStats
The growing interest in data privacy and anonymization presents challenges, as traditional methods such as ordinal discretization often result in information loss by coarsening metric data. Current research suggests that modeling the latent distributions
Stefan Michael Stroka, Christian Heumann
doaj   +1 more source

Life‐Threatening Bradycardia in Anti‐NMDA‐Receptor Encephalitis and a Novel Use for Permanent Pacing

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Pediatric anti‐NMDA receptor encephalitis (pNMDARE) is an autoantibody‐mediated disorder that can cause severe autonomic dysfunction, including symptomatic bradycardia and asystole. Dysautonomia can last for years, making it very challenging to manage.
Sarah Tucker   +9 more
wiley   +1 more source

Cognitive Status in People With Epilepsy in the Republic of Guinea: A Prospective, Case–Control Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective People with epilepsy (PWE) may experience cognitive deficits but fail to undergo formal evaluation. This study compares cognitive status between PWE and healthy controls in the West African Republic of Guinea. Methods A cross‐sectional, case–control study was conducted in sequential recruitment phases (July 2024–July 2025) at Ignace ...
Maya L. Mastick   +14 more
wiley   +1 more source

Patterns of Postictal Abnormalities in Relation to Status Epilepticus in Adults

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Abnormalities on peri‐ictal diffusion‐weighted magnetic resonance imaging (DWI‐PMAs) are well‐established for patients with status epilepticus (SE), but knowledge on patterns of DWI‐PMAs and their prognostic impact is sparse. Methods This systematic review and individual participant data meta‐analysis included observational studies ...
Andrea Enerstad Bolle   +11 more
wiley   +1 more source

Small samples, big problems: lipoid pneumonia mimicking lung adenocarcinoma

open access: yesJornal Brasileiro de Pneumologia, 2023
Felipe Marques da Costa1   +4 more
openaire   +4 more sources

Effects of Biological Sex and Age on Cerebrospinal Fluid Markers—A Retrospective Observational Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cerebrospinal fluid (CSF) analysis is a key diagnostic tool for neurological diseases. To date, only a few studies have investigated in larger cohorts the effect of age and biological sex on diagnostic markers extracted from CSF. Methods For this retrospective observational study, 4163 CSF findings (2012–2020) were evaluated.
Isabel‐Sophie Hafer   +3 more
wiley   +1 more source

KDTM: Multi-Stage Knowledge Distillation Transfer Model for Long-Tailed DGA Detection

open access: yesMathematics
As the most commonly used attack strategy by Botnets, the Domain Generation Algorithm (DGA) has strong invisibility and variability. Using deep learning models to detect different families of DGA domain names can improve the network defense ability ...
Baoyu Fan   +4 more
doaj   +1 more source

Feasibility and Tolerability of Performing Portable MRI for Neurological Disorders in an Outpatient Neurology Clinic: A Prospective Cohort

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Accessing brain magnetic resonance imaging (MRI) can be challenging, especially for underserved patients, which may lead to disparities in neurological diagnosis. Method This mixed‐methods study enrolled adults with one of four neurological disorders: mild cognitive impairment or dementia of the Alzheimer type, multiple sclerosis ...
Maya L. Mastick   +19 more
wiley   +1 more source

Genomic data sampling and its effect on classification performance assessment

open access: yesBMC Bioinformatics, 2003
Background Supervised classification is fundamental in bioinformatics. Machine learning models, such as neural networks, have been applied to discover genes and expression patterns. This process is achieved by implementing training and test phases.
Azuaje Francisco
doaj   +1 more source

Vestibular Patient Journey: Insights From Vestibular Disorders Association (VeDA) Registry

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Vestibular symptoms impose a high burden of disability. Understanding real‐world diagnostic and treatment pathways can identify care gaps and guide interventions. We aimed to characterize symptom profiles, diagnostic trends, provider involvement, and treatment patterns in vestibular disorders.
Ali Rafati   +10 more
wiley   +1 more source

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