Results 221 to 230 of about 3,327,271 (332)

The Tool for Automatic Analysis of Decoding Ambiguity (TAADA). [PDF]

Behav Res Methods
Crossley S, Choi JS, Tang K, Cutting L.
europepmc   +1 more source

Changes in Immune‐Inflammation Status and Acute Ischemic Stroke Prognosis in Prospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Inflammation is a critical risk factor for poor outcomes in cerebral infarction. Prior studies focused primarily on baseline inflammation status, neglecting dynamic longitudinal changes. We try to investigate the association between immune‐inflammation status alterations and stroke prognosis, and evaluated three systemic biomarkers'
Songfang Chen, Wenting Huang, Yitian Liu, Xuan Chen, Buyu Ke, Qian Shen, Hanyu Cai, Jing Sun, Yan Li, Yungang Cao, Beilei Hu, Keyang Chen   +11 more
wiley   +1 more source

Enhanced log ratio calibration methods for stratified variance estimation in survey sampling. [PDF]

Sci Rep
Zaka A, Alghamdi FM, Alsheikh SMA, Jabeen R, Minhas KS, Bano S, Afify AZ.   +6 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

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

Numerical methods for probabilistic constrained optimization problem where random variables have degenerate continuous distribution

, 2016
Olga Myndyuk
openalex   +1 more source

Multivariate mixed models accounting for don't know options in ordinal data. [PDF]

J R Stat Soc Ser A Stat Soc
Gueorguieva R, Iannario M.
europepmc   +1 more source

Use of Symptomatic Drug Treatment for Fatigue in Multiple Sclerosis and Patterns of Work Loss

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To describe the use of central stimulants and amantadine for fatigue in MS and evaluate a potential association with reduced work loss in people with MS. Methods We conducted a nationwide, matched, register‐based cohort study in Sweden (2006 to 2023) using national registers with prospective data collection.
Simon Englund, Johan Reutfors, Thomas Frisell, Fredrik Piehl   +3 more
wiley   +1 more source

Explainable machine learning to predict prolonged post-operative opioid use in rotator cuff patients. [PDF]

BMC Musculoskelet Disord
Guattery J, Miller LM, Irrgang JJ, Lin A, Parmanto B, Tafti AP.   +5 more
europepmc   +1 more source

Will Memantine Exacerbate Seizures in People With Epilepsy? A Prospective Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate whether add‐on memantine would exacerbate seizures in people with epilepsy. Methods This was a prospective cohort study. People with epilepsy diagnosed with cognitive impairment were consecutively invited. Those who agreed were followed up for at least 24 weeks.
Peiyu Wang, Lu Lu, Hui Gao, Qi Zhang, Jing Xiao, Josemir W. Sander, Weixi Xiong, Dong Zhou   +7 more
wiley   +1 more source