Results 91 to 100 of about 370,101 (314)
Rationale: Given datasets with a large or diverse set of predictors of aggression, machine learning (ML) provides efficient tools for identifying the most salient variables and building a parsimonious statistical model.
Robert Suchting +5 more
doaj +1 more source
ABSTRACT Objective Variants in SLC6A1, encoding the GABA transporter 1 (GAT‐1), cause epilepsy, autism spectrum disorder, and developmental delay via loss of GABA uptake, impaired trafficking, and ER retention. We previously found that 4‐Phenylbutyrate (PBA), an FDA‐approved drug, restores GABA uptake and reduces seizures in SLC6A1‐related disorders ...
Melissa B. DeLeeuw +5 more
wiley +1 more source
ABSTRACT Objectives We aimed to determine the frequency of subclinical optic nerve (ON) lesions using MRI, optical coherence tomography (OCT), and visual evoked potentials (VEP) in radiologically isolated syndrome (RIS), and to assess their diagnostic and prognostic significance.
Christine Lebrun‐Frenay +13 more
wiley +1 more source
Testing the additional predictive value of high-dimensional molecular data [PDF]
While high-dimensional molecular data such as microarray gene expression data have been used for disease outcome prediction or diagnosis purposes for about ten years in biomedical research, the question of the additional predictive value of such data ...
Torsten Hothorn +5 more
core +1 more source
Human Pegivirus Encephalitis With Brain Detection and Response to Sofosbuvir Ledipasvir
ABSTRACT Human pegivirus (HPgV‐1) has been associated with severe encephalomyelitis in immunocompromised patients. Its neurological spectrum remains poorly defined. We report a slowly progressive encephalitis in a person living with well‐controlled HIV, characterized by white matter abnormalities and inflammatory cerebrospinal fluid (CSF). HPgV RNA was
Antoine Moulignier +3 more
wiley +1 more source
Depression screening from social media has increasingly benefited from transformer-based architectures; however, integrating symptom-level analysis with clinically grounded diagnostic screening remains challenging. This study proposes a unified two-phase
Jandara Suksam +2 more
doaj +1 more source
Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study
ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu +7 more
wiley +1 more source
This article reviews the history, technique, effects, side effects, and detection of blood boosting. It also considers whether or not this particular performance enhancement technique is a thing of the past or a continuing form of abuse among athletes.
openaire +2 more sources
Forecasting with many predictors - Is boosting a viable alternative? [PDF]
This paper evaluates the forecast performance of boosting, a variable selection device, and compares it with the forecast combination schemes and dynamic factor models presented in Stock and Watson (2006).
Wohlrabe, Klaus, Buchen, Teresa
core
Variable Selection and Model Choice in Structured Survival Models [PDF]
In many situations, medical applications ask for flexible survival models that allow to extend the classical Cox-model via the inclusion of time-varying and nonparametric effects.
Hothorn, Torsten +2 more
core +1 more source

