Results 81 to 90 of about 1,440,173 (266)
Frontiers in NutritionObjectiveThe present study aimed to investigate the influence of different exercise methods on sarcopenia patients receiving maintenance hemodialysis (MHD) by conducting a network meta-analysis.MethodsThe PubMed, Embase, Cochrane Library, Web of Science,
Ying Li +5 more
doaj +1 more source
CoRR, 2019 We propose meta-curvature (MC), a framework to learn curvature information for better generalization and fast model adaptation. MC expands on the model-agnostic meta-learner (MAML) by learning to transform the gradients in the inner optimization such that the transformed gradients achieve better generalization performance to a new task.
Eunbyung Park, Junier B. Oliva
openaire +3 more sources
Problematic Internet Use in Frontotemporal Dementia: A Case Series
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT The present study investigated problematic internet use (PIU) among 61 patients with frontotemporal dementia (FTD) compared to a cohort of 354 patients with mild cognitive impairment (MCI) and Alzheimer's dementia. PIU was identified in 22.9% of FTD patients compared to only 0.8% of AD patients (p < 0.001). Behaviors included compulsive social
Daniele Urso +9 more
wiley +1 more source
Algorithmic Meta-theorems [PDF]
, 2008 Algorithmic meta-theorems are general algorithmic results applying to a whole range of problems, rather than just to a single problem alone. They often have a "logical" and a "structural" component, that is they are results of the form: every computational problem that can be formalised in a given logic L can be solved efficiently on every class C of ...
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To clarify the clinical relevance of dopamine transporter single‐photon emission computed tomography (DAT‐SPECT) abnormalities in amyotrophic lateral sclerosis (ALS), with a prespecified focus on sex‐stratified associations with disease progression and short‐term prognosis.
Tomoya Kawazoe +7 more
wiley +1 more source
, 2019 Meta-learning, or learning to learn, is the science of systematically observing how different machine learning approaches perform on a wide range of learning tasks, and then learning from this experience, or meta-data, to learn new tasks much faster than otherwise possible.
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Upper Cervical Cord Area as a Biomarker of Conversion to Secondary Progressive Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective This study assessed whether upper cervical cord area (UCCA) measured on routine brain MRI can serve as a biomarker of conversion to SPMS. Methods This is a single‐center retrospective cohort study of RRMS patients with cross‐sectional and longitudinal analyses of clinical and MRI data. Future SPMS converters were matched by age, sex,
Nabil K. El Ayoubi +8 more
wiley +1 more source
Commentary: Meta-epidemiology, meta-meta-epidemiology or network meta-epidemiology? [PDF]
International Journal of Epidemiology, 2013 Ludovic, Trinquart +2 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To determine whether integration of serum neurofilament light chain (NfL) and cortical dysfunction improves diagnostic accuracy in amyotrophic lateral sclerosis (ALS) when applied alongside the Gold Coast criteria (GCC). Methods In this prospective study, 148 participants with suspected ALS were recruited (101 ALS and 47 with ALS ...
Aicee Dawn Calma +16 more
wiley +1 more source
Frontiers in SurgeryBackgroundPercutaneous endoscopic lumbar discectomy (PELD) has become the preferred minimally invasive surgical treatment for lumbar disc herniation. This study aims to conduct a systematic literature review and meta-analysis to assess the efficacy and ...
Bin Zheng +4 more
doaj +1 more source