Results 111 to 120 of about 23,119,930 (306)
Using Random Forests to Describe Equity in Higher Education: A Critical Quantitative Analysis of Utah’s Postsecondary Pipelines [PDF]
, 2018 The following work examines the Random Forest (RF) algorithm as a tool for predicting student outcomes and interrogating the equity of postsecondary education pipelines. The RF model, created using longitudinal data of 41,303 students from Utah\u27s 2008
McDaniel, Tyler
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background There is growing recognition of the potential of plasma proteomics for Alzheimer's Disease (AD) risk assessment and disease characterization. However, differences between proteomics platforms introduce uncertainties regarding cross‐platform applicability.
Manyue Hu +9 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Aims This study aimed to explore the relationship between stress‐induced hyperglycemia (SIH) and in‐hospital medical complications in patients with acute stroke. Methods We enrolled 865,765 patients with acute stroke from the Chinese Stroke Center Alliance cohort.
Xintong Song +6 more
wiley +1 more source
Chinese Journal of Contemporary Neurology and NeurosurgeryObjective To analyze the risk factors for dismal prognosis in patients with cryptococcal meningitis and construct a prediction scoring system Nomogram model.
XIONG Bing-jie +3 more
doaj +1 more source
Copy Number Variants and Their Association With Intracerebral Hemorrhage Risk: A Case–Control Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Intracerebral Hemorrhage (ICH) is a leading cause of morbidity and mortality worldwide and lacks effective therapeutic interventions. Despite previous studies, the genetic underpinnings of ICH remain poorly understood. We sought to investigate the role of copy number variants (CNVs) in ICH pathophysiology to identify novel ...
Savvina Prapiadou +12 more
wiley +1 more source
Insights Into the Antigenic Repertoire of Unclassified Synaptic Antibodies
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective We sought to characterize the sixth most common finding in our neuroimmunological laboratory practice (tissue assay‐observed unclassified neural antibodies [UNAs]), combining protein microarray and phage immunoprecipitation sequencing (PhIP‐Seq). Methods Patient specimens (258; 133 serums; 125 CSF) meeting UNA criteria were profiled;
Michael Gilligan +22 more
wiley +1 more source
Chinese Journal of Contemporary Neurology and NeurosurgeryObjective To explore the factors influencing the severity of acute phase and short-term prognosis of anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis, and search for potential indicators for assessing disease severity and predicting prognosis ...
YE Rui-xi +5 more
doaj +1 more source
Malaria attributable fractions with changing transmission intensity: Bayesian latent class vs logistic models. [PDF]
Malar J, 2022 Mwai K +10 more
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To compare the effectiveness and safety of tenecteplase (TNK) versus alteplase (TPA) in patients with basilar artery occlusion prior to endovascular treatment (EVT). Methods In this retrospective multicenter study (BAO‐TNK), we analyzed consecutive BAO patients from 14 U.S.
Rahul R. Karamchandani +38 more
wiley +1 more source
Accelerating L1-penalized expectation maximization algorithm for latent variable selection in multidimensional two-parameter logistic models. [PDF]
PLoS One, 2023 Shang L, Xu PF, Shan N, Tang ML, Ho GT.
europepmc +1 more source