Results 121 to 130 of about 5,783,771 (297)

Baseline Neuroinflammation Stratifies TSPO‐PET Response to Disease‐Modifying Therapy in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate which baseline clinical and imaging characteristics best predict TSPO‐PET‐measurable reduction in glial activation following treatment of multiple sclerosis (MS), to utilize this information for designing more efficient biomarker‐based clinical trials targeting glial activation.
Marlene T. Morch   +5 more
wiley   +1 more source

Evaluation of the Performance of Kernel Non-parametric Regression and Ordinary Least Squares Regression

open access: yesJOIV: International Journal on Informatics Visualization
Researchers need to understand the differences between parametric and nonparametric regression models and how they work with available information about the relationship between response and explanatory variables and the distribution of random errors ...
Amjed Mohammed Sadek, Lekaa Ali Mohammed
doaj   +1 more source

Adaptive Cross-Validation for Unseen Distribution Generalization

open access: yes
Machine learning models, despite their impressive performance on various tasks, often struggle with generalization to data originating from distributions not encountered during training. This challenge, known as out-of-distribution (OOD) generalization, is a significant hurdle for deploying intelligent systems in dynamic, real-world environments where ...
Revista, Zen, IA, 10
openaire   +1 more source

Translation, cross-cultural adaptation and validation of the General Movement checklist

open access: yesActa Neurologica Belgica
Abstract Background. The General Movement checklist, recently developed by Aizawa et al. is an alternative, accessible, and affordable tool for usage by health care professionals who are not certified or trained in Prechtl's General Movement Assessment.
Daniela Eugenia Salazar-Díaz   +4 more
openaire   +2 more sources

Cross-Validation With Confidence

open access: yes, 2019
Cross-validation is one of the most popular model and tuning parameter selection methods in statistics and machine learning. Despite its wide applicability, traditional cross-validation methods tend to overfit, due to the ignorance of the uncertainty in ...
Jing Lei (682227)
core   +1 more source

Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
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

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

Gravity‐Dependent Modulation of Downbeat Nystagmus: Insights From Velocity‐Storage Dysfunction

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Downbeat nystagmus varies with head position, a phenomenon termed gravity‐dependent modulation. We aimed to clarify its mechanism using a velocity‐storage model. Methods In 10 patients with downbeat nystagmus due to cerebellar disorders, we recorded eye movements at different pitch‐ and roll‐axis head positions.
Ji‐Hyung Park   +5 more
wiley   +1 more source

Probabilistic Confusion Matrix: A Novel Method for Machine Learning Algorithm Generalized Performance Analysis

open access: yesTechnologies
The paper addresses the issue of classification machine learning algorithm performance based on a novel probabilistic confusion matrix concept. The paper develops a theoretical framework which associates the proposed confusion matrix and the resulting ...
Ioannis Markoulidakis   +1 more
doaj   +1 more source

PERBANDINGAN METODE CROSS VALIDATION DAN GENERALIZED CROSS VALIDATION DALAM REGRESI NONPARAMETRIK BIRESPON SPLINE

open access: yesJurnal Varian, 2017
AbstrakAnalisis regresi merupakan salah satu metode yang sangat populer dalam statistika untuk menjelaskan hubungan sebab akibat antara satu/beberapa variabel prediktor terhadap satu variabel respon. Pada umumnya, pemodelan yang dapat dilakukan dengan menggunakan analisis regresi.
openaire   +1 more source

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