Results 71 to 80 of about 940,462 (236)

Combining Three Peripheral Blood Biomarkers to Stratify Rheumatoid Arthritis–Associated Interstitial Lung Disease Risk

open access: yesArthritis Care &Research, EarlyView.
Objective The purpose was to evaluate a biomarker score consisting of MUC5B rs35705950 promoter variant, plasma matrix metalloproteinase‐7 (MMP‐7), and serum anti–malondialdehyde‐acetaldehyde (anti‐MAA) antibody for rheumatoid arthritis (RA)–associated interstitial lung disease (ILD) risk stratification.
Kelsey Coziahr   +16 more
wiley   +1 more source

Prediction of premature all-cause mortality: A prospective general population cohort study comparing machine-learning and standard epidemiological approaches.

open access: yesPLoS ONE, 2019
BACKGROUND:Prognostic modelling using standard methods is well-established, particularly for predicting risk of single diseases. Machine-learning may offer potential to explore outcomes of even greater complexity, such as premature death.
Stephen F Weng   +3 more
doaj   +1 more source

Discriminant Learning Machines [PDF]

open access: yes, 2019
The cause-effect pair challenge has, for the first time, formulated the cause-effect problem as a learning problem in which a causation coefficient is trained from data. This can be thought of as a kind of meta learning. This chapter will present an overview of the contributions in this domain and state the advantages and limitations of the method as ...
Kalainathan, Diviyan   +3 more
openaire   +2 more sources

Cognitive Behavioral Therapy for Youth With Childhood‐Onset Lupus: A Randomized Clinical Trial

open access: yesArthritis Care &Research, EarlyView.
Objective Our objective was to determine the feasibility and acceptability of the Treatment and Education Approach for Childhood‐Onset Lupus (TEACH), a six‐session cognitive behavioral intervention addressing depressive, fatigue, and pain symptoms, delivered remotely to individual youth with lupus by a trained interventionist.
Natoshia R. Cunningham   +29 more
wiley   +1 more source

Information-theoretic analysis of multivariate single - cell signaling responses using SLEMI

open access: yes, 2018
Mathematical methods of information theory constitute essential tools to describe how stimuli are encoded in activities of signaling effectors.
Blonski, Slawomir   +4 more
core   +1 more source

Trajectories of Physical Function in Canadian Children with Juvenile Idiopathic Arthritis

open access: yesArthritis Care &Research, Accepted Article.
Objectives We describe trajectories of physical function in children newly diagnosed with juvenile idiopathic arthritis (JIA) and identify trajectories with persisting functional impairments and associated baseline characteristics. Methods We included patients enrolled in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry ...
Clare Cunningham   +14 more
wiley   +1 more source

Perceptual learning improves discrimination but does not reduce distortions in appearance.

open access: yesPLoS Computational Biology
Human perceptual sensitivity often improves with training, a phenomenon known as "perceptual learning." Another important perceptual dimension is appearance, the subjective sense of stimulus magnitude.
Sarit F A Szpiro   +3 more
doaj   +1 more source

Learning and discrimination through STDP in a top-down modulated associative memory

open access: yes, 2006
This article underlines the learning and discrimination capabilities of a model of associative memory based on artificial networks of spiking neurons.
Mouraud, Anthony, Paugam-Moisy, Hélène
core   +4 more sources

Molding the Knowledge in Modular Neural Networks [PDF]

open access: yes, 2002
Problem description. The learning of monolithic neural networks becomes harder with growing network size. Likewise the knowledge obtained while learning becomes harder to extract. Such disadvantages are caused by a lack of internal structure, that by its
Achterop, S.   +3 more
core   +2 more sources

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

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