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Results 101 to 110 of about 15,697,207 (237)

Clinical and Modifiable Factors Associated With Disability and Relapse in MOGAD: A Multicentre Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Factors associated with relapse course and disability in myelin oligodendrocyte glycoprotein antibody‐associated disease (MOGAD) remain incompletely understood. Objectives To identify clinical and modifiable factors associated with relapse and disability in MOGAD. Methods In this ambispective multicentre cohort study using data from
Yingtao Wang +23 more
wiley +1 more source

PROBABILISTIC MODEL OF NATIONAL INTEREST IMPLEMENTATION

Збірник наукових праць Національної академії Державної прикордонної служби України. Серія: військові та технічні науки
The article substantiates the relevance of developing mathematical software for assessing the state of the country’s military security through the prism of the realization of its national interests. It is determined that, in the context of the prolonged
Andrii Ihnatiev, Dmytro Kupriyenko
doaj +1 more source

Factors Associated With the Rising Trend in Self‐Reported Cognitive Disability Among U.S. Adults Aged 18–39 From 2013–2024

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Building on our prior Behavioral Risk Factor Surveillance System analysis identifying adults aged 18–39 as the primary driver of the national increase in self‐reported cognitive disability, we examined factors associated with this rise using 2013–2024 U.S. BRFSS data. Methods We analyzed U.S.
Adam de Havenon +9 more
wiley +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source

Search and Retrieval]: Retrieval models

, 2008
There have been a number of prior attempts to theoretically justify the effectiveness of the inverse document frequency (IDF). Those that take as their starting point Robertson and Spärck Jones’s probabilistic model are based on strong or complex ...
Robertson-spärck Jones, Probabilistic Model +1 more
core

Diabetes‐Associated Cognitive Impairment: Pathophysiology and Emerging Therapies

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Diabetes‐associated cognitive impairment (DACI) is a common yet underrecognized condition, manifesting along a spectrum from mild cognitive impairment to dementia. DACI encompasses patients who develop vascular dementia (VaD) or Alzheimer's disease (AD) with diabetes as a risk factor; however, in certain patients, particularly those lacking ...
Osman Corbali +4 more
wiley +1 more source

The importance of socio-economic indicators in predicting urban growth

npj Urban Sustainability
Urban growth (UG) prediction is essential for risk assessment and urban planning. This paper proposes a probabilistic hexagonal cellular automata model integrating land-cover and socio-economic indicators to predict UG over five-year intervals ...
Alessandro Contento +4 more
doaj +1 more source

Stage‐Dependent β‐Synuclein Links MRI and Cognitive Decline in Alzheimer's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Synaptic degeneration drives cognitive decline in Alzheimer's disease (AD), but synaptic biomarkers are scarce. Brain‐enriched β‐synuclein emerged as a synaptic damage marker. We investigated its diagnostic, prognostic, and structural correlates across the AD continuum.
Ulaş Ay +15 more
wiley +1 more source

PhysioGen-KAN: A Transparent and Uncertainty-Aware Probabilistic Framework for Adaptive Physiological Signal Processing

IEEE Open Journal of the Computer Society
As the adoption of black-box artificial intelligence (AI) in healthcare increases, there is a growing need for models that are not only accurate but also interpretable, computationally efficient, and reliable for clinical decision-making.
Yajnaseni Dash +5 more
doaj +1 more source

Comparative Analysis of Choroid Plexus Volume Between MOG Antibody Associated Disease and Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Choroid plexus volume (CPV) has been proposed as a neuro‐immunological marker of multiple sclerosis (MS), but its relevance in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD) remains uncertain. We analyzed CPV in 43 individuals with MOGAD, 48 with MS, and 44 healthy controls using a Bayesian Gaussian mixture modeling ...
Jae‐Won Hyun +4 more
wiley +1 more source

probabilistic model
relevance vector machine
computer applications to medicine

medical informatics
computer science