Results 181 to 190 of about 3,979,328 (298)

Developmental and Epileptic Encephalopathy due to Biallelic Pathogenic Variants in PIGM

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective PIGM encodes a critical enzyme in the glycosylphosphatidylinositol (GPI)‐anchor biosynthesis pathway. While promoter‐region mutations in PIGM have been associated with a relatively mild phenotype characterized by portal vein thrombosis and absence seizures, recent evidence suggests that coding‐region mutations result in a more severe
Júlia Sala‐Coromina, Anna Marcé‐Grau, Barbara Masotto, Marta Codina, Lamia BenJemaa, Yasmina Elaribi, Mónica Martinez‐Gallo, Roger Colobran, Angel Sanchez‐Montañez, Irene Valenzuela, Yoshiko Murakami, Alfons Macaya   +11 more
wiley   +1 more source

PIP: Pictorial Interpretable Prototype Learning for Time Series Classification. [PDF]

IEEE Comput Intell Mag, 2022
Ghods A, Cook DJ.
europepmc   +1 more source

Epilepsy‐Associated Variants of a Single SCN1A Codon Exhibit Divergent Functional Properties

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Pathogenic variants in SCN1A, which encodes the voltage‐gated sodium channel NaV1.1, are associated with multiple epilepsy syndromes exhibiting a range of clinical severity. SCN1A variants are reported in different syndromes, including Dravet syndrome, which is associated with loss‐of‐function, whereas neonatal/infantile‐onset ...
Lanie N. Liebovitz, Christopher H. Thompson, Linda C. Laux, Alfred L. George Jr.   +3 more
wiley   +1 more source

Decoupled Early Time Series Classification Using Varied-Length Feature Augmentation and Gradient Projection Technique. [PDF]

Entropy (Basel), 2022
Chen H, Zhang Y, Tian A, Hou Y, Ma C, Zhou S.   +5 more
europepmc   +1 more source

A Systematic Review and Meta‐Analysis of the Recurrence of Autoimmune Encephalitis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Autoimmune encephalitis (AE) is a disease with a potential for recurrence, and patients receive immunotherapy to prevent it. However, there is no consensus on the duration of immunotherapy. This study aimed to determine the recurrence rate and identify the risk factors for AE to provide guidance on the duration of immunotherapy ...
Shangkai Bai, Sen Zhang, Haipei Zhang, Yating Zhang, Junhong Guo, Xiaoyan Yang   +5 more
wiley   +1 more source

A Comprehensive Explanation Framework for Biomedical Time Series Classification. [PDF]

IEEE J Biomed Health Inform, 2021
Ivaturi P, Gadaleta M, Pandey AC, Pazzani M, Steinhubl SR, Quer G.   +5 more
europepmc   +1 more source

One-Class Time Series Classification

, 2022
This thesis contributes to the state of the art of time series classification and machine learning by investigating three novel data-driven representations for time series in the context of one-class classification. The one-class assumption is useful for all classification problems where only data of a single class is available for training a ...
openaire   +1 more source

CSF Monoamine Metabolites and Cognitive Trajectory in Early Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Imaging and postmortem studies indicate that abnormalities in monoaminergic neurotransmission contribute to cognitive impairment in Parkinson's disease (PD). However, it remains uncertain if cerebrospinal fluid (CSF) monoamine metabolites can serve as biomarkers of cognitive decline in early PD.
Jing‐Yu Shao, Rong Li, Yu‐Xiang Jiao, Kai Ma, Hong‐Qi Yang, Zheng‐Yu Sun, Jie‐Wen Zhang, Shuai Chen   +7 more
wiley   +1 more source

EffiShapeFormer: Shapelet-Based Sensor Time Series Classification with Dual Filtering and Convolutional-Inverted Attention. [PDF]

Sensors (Basel)
Bao J, Wang S, Tang X, Zhang S, Wang H, Wang L, Zhang Q, Wu N, Yang X, Zhang X, Li X, Liao J, Liu L.   +12 more
europepmc   +1 more source

Predicting the outcome for COVID-19 patients by applying time series classification to electronic health records. [PDF]

BMC Med Inform Decis Mak, 2022
Rodrigues DS, Nastri ACS, Magri MM, Oliveira MS, Sabino EC, Figueiredo PHMF, Levin AS, Freire MP, Harima LS, Nunes FLS, Ferreira JE, HCFMUSP COVID-19 Study Group.   +11 more
europepmc   +1 more source