Results 201 to 210 of about 7,963,480 (325)

Network Localization of Fatigue in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo, Jaakko Kungshamn, Albert Bellmunt‐Gil, Silvia Tommasin, Abhineet Ojha, Matias Viitala, Juho Aaltonen, Jyrki Lötjönen, Juha Koikkalainen, Pauli Ylikotila, Patrizia Pantano, Merja Soilu‐Hänninen, Juho Joutsa   +12 more
wiley   +1 more source

Time-Series Analysis of Atmospheric Pollution and <i>Mycoplasma pneumoniae</i> Infections in Children. [PDF]

Can J Infect Dis Med Microbiol
Zhang H, Meimei Lai, Dong H, Yan L, Zhang L.   +4 more
europepmc   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Time Series Analysis of Posttraumatic Stress Disorder in Military Veterans: A Literature Review and Pilot Study. [PDF]

Neuropsychiatr Dis Treat
Werder SF, Kupferer KR, Kent M.
europepmc   +1 more source

The Association Between Short-Term Air Pollution Exposure and Post-Adolescent Acne: The Evidence from a Time Series Analysis in Xi’an, China

, 2021
Li X, An SJ, Liu Xl, Ji AL, Cao Y, Y Xiang, Ma Xy, Hu Quan, Yuan ZQ, Li Yf, Lu YG, Cai TJ   +11 more
openalex   +1 more source

Review for "On the use of patterns obtained from LSTM and feature-based methods for time series analysis: application in automatic classification of the CAP A phase subtypes"

, 2020

openalex   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Time series analysis of malaria in pregnancy, using wavelet and SARIMAX models. [PDF]

PLoS One
Oniyelu DO, Folorunsho O, Adewole L, Bakare EA, Okoronkwo C, Eze N, with ICAMMDA Team.   +6 more
europepmc   +1 more source

Chronological and Spatial Distribution of Skeletal Muscle Fat Replacement in FHL1‐Related Myopathies

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Variants in the FHL1 gene cause FHL1‐related myopathies (FHL1‐RMs), a group of neuromuscular disorders with diverse clinical presentations. This study aimed to comprehensively characterize the spatial and temporal patterns of skeletal muscle fat replacement throughout the whole body in FHL1‐RMs, to examine disease progression over ...
Rui Shimazaki, Satoru Noguchi, Hotake Takizawa, Yasushi Oya, Yuji Takahashi, Hirofumi Komaki, Hajime Arahata, Shinichiro Hayashi, Ichizo Nishino   +8 more
wiley   +1 more source

Impact of Incentive Reform and COVID-19 on Primary Care Home Visits in Ontario: A Population-Based Interrupted Time Series Analysis. [PDF]

Ann Fam Med
Jones A, Gayowsky A, Sinn CJ, Correia RH, Dash D, Rahman B, Meng MH, Sultan H, Niedra E, Costa AP, Ivers N, Jaakkimainen RL, Watt JA, Lapointe-Shaw L.   +13 more
europepmc   +1 more source