Results 101 to 110 of about 23,776,838 (246)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To determine whether discontinuing anti‐CD20 therapy in people with relapsing‐onset MS aged over 50 is associated with an increased risk of relapse, inflammatory activity, confirmed disability accrual, and serious infection compared with continuing therapy.
Alexia Moukhine +40 more
wiley +1 more source
Data for: A Hybrid Data-Level Ensemble to Enable Learning from Highly Imbalanced Dataset
, 2020 This repo contains 42 highly imbalanced datasets for the paper "A Hybrid Data-Level Ensemble (HD-Ensemble) for Highly Imbalance Learning".
Duan, Jiang
core +1 more source
Safety and Efficacy of GLP‐1 Receptor Agonists in Adults With Epilepsy, Obesity, and Type 2 Diabetes
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Managing obesity in patients with epilepsy is complicated by the weight‐gaining properties of essential antiseizure medications (ASMs) such as valproate and pregabalin. We evaluated the safety and efficacy of initiating glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) in this population.
Hyoshin Son +3 more
wiley +1 more source
Changes in Immune‐Inflammation Status and Prognosis in Pregnancy‐Related Cerebral Venous Thrombosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Distinguishing pathological changes from physiological adaptations in pregnancy‐related cerebral venous thrombosis (CVT) is clinically challenging. This study aimed to characterize coagulation, immune‐inflammation, and dehydration status in these patients and assess their prognostic value.
Xiaoming Zhang +7 more
wiley +1 more source
Learning in imbalanced relational data
, 2008 Traditional learning techniques learn from flat data files with the assumption that each class has a similar number of examples. However, the majority of real-world data are stored as relational systems with imbalanced data distribution, where one class ...
Amal Ghanem (23302501) +2 more
core +2 more sources
Shape Penalized Decision Forests for Imbalanced Data Classification
IEEE AccessClass imbalance poses a critical challenge in binary classification problems, particularly when rare but significant events are underrepresented in the training set.
Rahul Goswami +4 more
doaj +1 more source
Boundary‐Dependent Sleep–Wake Dysregulation in Idiopathic Hypersomnia
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Idiopathic hypersomnia (IH) presents with excessive daytime sleepiness (EDS) despite apparently preserved nocturnal sleep, challenging traditional models of hypersomnolence based on sleep loss or fragmentation. We aimed to test the hypothesis that EDS in IH reflects excessive stabilization of the sleep state, consistent with ...
Samantha Mombelli +13 more
wiley +1 more source
Imbalanced Learning with Parametric Linear Programming Support Vector Machine For Weather Data Application [PDF]
, 2019 Learning from imbalanced data sets is one of the aspects of predictive modeling and machine learning that has taken a lot of attention in the last decade.
Jafarigol, Elaheh
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background The clinical relevance of MGMT promoter methylation in IDH‐mutant gliomas remains controversial in the era of molecular classification. We aimed to systematically evaluate its clinical relevance by integrating quantitative assessment, cutoff exploration, and adjustment for clinical confounding.
Haihui Jiang +7 more
wiley +1 more source
A Progressive Sampling Method for Dual-Node Imbalanced Learning with Restricted Data Access
Imbalanced learning, characterised by disproportionate class distributions, impedes the effectiveness of learning algorithms, particularly when available data is scarce.
Chen, W., Qiu, Y., Xu, M.
core +1 more source