Results 211 to 220 of about 223,210 (262)

Reserves, Injury Severity, and Outcomes in Traumatic Brain Injury: A CENTER‐TBI Observational Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Reserve refers to the brain's ability to maintain function after an injury and strongly relates to traumatic brain injury (TBI) outcomes. This study examined (1) whether associations between pre‐injury reserve proxies and outcomes differed across injury severity categories, and (2) whether the impact of injury severity varied across ...
Natascha Ekdahl, Marika C. Möller, Lindsay Wilson, Anne Vik, Toril Skandsen, Jonas Stenberg, CENTER‐TBI participants and investigators   +6 more
wiley   +1 more source

Neurological, Neurodevelopmental and Treatment Outcomes in Patients With Pyruvate Dehydrogenase Complex Deficiency

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The aim of this study was to characterize intellectual and motor function, neurological features including epilepsy, treatment response, and adaptive behavior in patients with pyruvate dehydrogenase complex deficiency (PDCD) in Sweden.
Antri Savvidou, Colin Reilly, Kalliopi Sofou, Sofia Ygberg, Erik A. Eklund, Karin Naess, Niklas Darin   +6 more
wiley   +1 more source

Moderators of the Effects of Exercise and Manual Therapy for People With Knee and Hip Osteoarthritis: A Secondary Analysis of a Randomized Clinical Trial

Arthritis Care &Research, EarlyView.
Objective This study aimed to investigate potential moderators influencing the effects of manual therapy and exercise therapy on pain and functional outcomes in individuals with knee and/or hip osteoarthritis, using data from the MOA trial. This is a secondary analysis of data from the MOA trial that compares the clinical effectiveness of manual ...
Daniel Cury Ribeiro, Sarah E. Lamb, J. Haxby Abbott   +2 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, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Factors Associated with Fibromyalgia Diagnosis amongst People Meeting Criteria: Results from UK Biobank

Arthritis Care &Research, Accepted Article.
Objective The diagnosis of fibromyalgia (FM) is challenging due to the absence of definitive biomarkers, numerous overlapping comorbidities and its reliance on patient‐reported symptoms. Discrepancies between diagnostic criteria and clinical practice imply the possibility of diagnostic biases, complicating timely and accurate identification. This study
Sung‐A Kim, Gary J. Macfarlane, Marcus J. Beasley   +2 more
wiley   +1 more source

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Progressive Supervision for Node Classification

2021
Graph Convolution Networks (GCNs) are a powerful approach for the task of node classification, in which GCNs are trained by minimizing the loss over the final-layer predictions. However, a limitation of this training scheme is that it enforces every node to be classified from the fixed and unified size of receptive fields, which may not be optimal.
Yiwei Wang 0001, Wei Wang 0059, Yuxuan Liang 0002, Yujun Cai, Bryan Hooi   +4 more
openaire   +2 more sources

Supervised Learning for Classification

2005
Supervised local tangent space alignment is proposed for data classification in this paper. It is an extension of local tangent space alignment, for short, LTSA, from unsupervised to supervised learning. Supervised LTSA is a supervised dimension reduction method.
Hongyu Li 0001, Wenbin Chen 0006, I-Fan Shen   +2 more
openaire   +1 more source

Non Supervised Classification Tools Adapted to Supervised Classification

1987
Let X be some set of individuals. We consider the following two mappings: $$\begin{array}{*{20}{c}} {R:X \to {R^p}} \\ {\Omega :X \to \left\{ {{\omega _1}, \ldots ,{\omega _n}} \right\}} \end{array}$$ For an individual x, x ∈ X, R(x) is its representation (R p being the feature-space) and Ω(x) is its class.
R. Fages, M. Terrenoire, D. Tounissoux, A. Zighed   +3 more
openaire   +1 more source

Optimization approaches to Supervised Classification

European Journal of Operational Research, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Semi-supervised classification trees

Journal of Intelligent Information Systems, 2017
In many real-life problems, obtaining labelled data can be a very expensive and laborious task, while unlabeled data can be abundant. The availability of labeled data can seriously limit the performance of supervised learning methods. Here, we propose a semi-supervised classification tree induction algorithm that can exploit both the labelled and ...
Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski   +3 more
openaire   +2 more sources