Results 161 to 170 of about 4,590,312 (339)

Ofatumumab in Myelin Oligodendrocyte Glycoprotein Antibody–Associated Disease: A Comparison With Rituximab

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the efficacy and safety of ofatumumab in patients with myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), and compare it with rituximab. Methods We conducted a single–center, observational study including 22 MOGAD patients treated with ofatumumab and 21 treated with rituximab.
Yuxin Fan, Lei Zhou, Jingzi ZhangBao, Hongmei Tan, Zhouzhou Wang, Chao Quan   +5 more
wiley   +1 more source

Enhancing Classification Performance on Imbalanced Data by Combining Autoencoder Generative Adversarial Networks with Synthetic Minority Over-Sampling Technique-Particle Swarm Optimization

Engineering Proceedings
Class imbalance is a common issue in machine learning, often causing bias in learning models toward the majority class and leading to poor predictive performance for the minority class data. To address the class imbalance problem, this paper presents the
Shang-Er Juan, Yan-Yu Lin, Liang-Sian Lin, Chien-Hsin Lin, Hsin-Yu Chang, Jhao-Sin Lai   +5 more
doaj   +1 more source

A multi-objective ensemble method for online class imbalance learning

, 2014
Online class imbalance learning is an emerging learning area that combines the challenges of both online learning and class imbalance learning. In addition to the learning difficulty from the imbalanced distribution, another major challenge is that the ...
Wang, Shuo, Yao, Xin, Leandro L. Minku, Xin Yao, Minku, Leandro L.; id_orcid, Shuo Wang   +5 more
core   +1 more source

Influenza Vaccination Responses in Disabled Stroke Patients: A Single‐Center Prospective Observational Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aimed to investigate the immunological response to influenza vaccination, the incidence and severity of influenza infection, and the side effects of the vaccination in patients with ischemic stroke. Methods This prospective observational study was conducted between 2023 and 2024 at Ramathibodi Hospital.
Achiraya Pakngao, Sureerat Suwatcharangoon, Pintip Ngamjanyapron, Kobporn Boonnak, Thanitta Suangtamai, Porpon Rotjanapan   +5 more
wiley   +1 more source

Class imbalance learning for network fault prediction

, 2020
The quality of internet connection is important in our daily life as people are becoming more dependent on it. To reduce internet connection problems, internet service providers (ISP) are proactively predicting and identifying network faults before it ...
Kok, Leonard Jin Yin
core  

Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach, Sandra Donkervoort, Carola Hedberg‐Oldfors, Giovanni Baranello, Dimah Saade, Precilla D'Souza, Ruchee Patel, Eva Michael, A. Reghan Foley, Diana Bharucha‐Goebel, S. Jin Haugland, Meghan McAnally, Omer Abdul Hamid, Katherine Chao, Ellen F. Macnamara, Alan H. Beggs, Anna Sarkozy, Juliane Mueller, Steven A. Moore, Richard S. Finkel, Cynthia J. Tifft, Francesco Muntoni, Anders Oldfors, Carsten G. Bönnemann   +23 more
wiley   +1 more source

Efficient undersampling methods for highly imbalanced big data: PSU-m and PSU-mm

Machine Learning: Science and Technology
Data in the real world typically have disproportionate distribution, which makes it difficult to extract meaningful insights. In binary classification problems, often the number of instances in certain class dominates the others, making existing ...
Yongseok Jeon
doaj   +1 more source

A Unified Approach to Video Anomaly Detection: Advancements in Feature Extraction, Weak Supervision, and Strategies for Class Imbalance

IEEE Access
This paper explores advancements in Video Anomaly Detection (VAD), combining theoretical insights with practical solutions to address model limitations.
Rui Z. Barbosa, Hugo S. Oliveira
doaj   +1 more source

Risk of Non‐Arteritic Anterior Ischemic Optic Neuropathy in Idiopathic Intracranial Hypertension Patients Treated with GLP‐1 Receptor Agonists

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) have demonstrated significant weight‐reducing effects and may offer benefits in idiopathic intracranial hypertension (IIH); however, recent concerns about the risk of non‐arteritic anterior ischemic optic neuropathy (NAION) have emerged.
Faisal A. Al‐Harbi, Mohanad A. Alkuwaiti, Yazeed B. Alaql, Ahmed K. Alsaif, Ahmed A. Alessa, Meshari Ayed Alharbi, Mohammed Alfalah, Saud A. Alnaaim, Sajjad M. AlHaddad, Ahmed Y. Azzam   +9 more
wiley   +1 more source

Current Trends in Class Imbalance Learning for Software Defect Prediction

IEEE Access
Software defect prediction is of high importance to manage the software development efforts by focusing the testing efforts on the fault-prone modules.
Somya R. Goyal
doaj   +1 more source