Results 71 to 80 of about 147,166 (261)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To determine whether myelin‐sensitive quantitative MRI reveals microstructural abnormalities in normal‐appearing cortex (NACtx) in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), indicating that conventional MRI underestimates remission residual cortical injury.
Valentina Camera +20 more
wiley +1 more source
Clustering students into groups according to their learning style
MethodsX, 2019 This method article aims to use group technology to classify engineering students at classroom level into clusters according to their learning style preferences.
Irene Pasina +4 more
doaj +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals 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
Preference Elicitation and Preference Learning in Social Choice [PDF]
, 2011 Social choice has been the subject of intense investigation within computer science, AI, and operations research, in part because of the ease with which preference data from user populations can now be elicited, assessed, or estimated in online settings.
openaire +2 more sources
Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis
Arthritis Care &Research, EarlyView.Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling +4 more
wiley +1 more source
Pairwise Preference Learning and Ranking [PDF]
, 2003 We consider supervised learning of a ranking function, which is a mapping from instances to total orders over a set of labels (options). The training information consists of examples with partial (and possibly inconsistent) information about their associated rankings. From these, we induce a ranking function by reducing the original problem to a number
Johannes Fürnkranz, Eyke Hüllermeier
openaire +2 more sources
Arthritis Care &Research, Accepted Article.Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif +5 more
wiley +1 more source
Advances in Medical Education and Practice, 2018 Mohammad A Aldosari, Aljazi H Aljabaa, Fares S Al-Sehaibany, Sahar F Albarakati Department of Pediatric Dentistry and Orthodontics, College of Dentistry, King Saud University, Riyadh, Saudi Arabia Background: Students differ in their preferred methods of
Aldosari MA +3 more
doaj
Innovative solutions for surgical education
Journal of Perioperative NursingIntroduction: The perioperative journey is filled with anxiety for patients, often exacerbated by poor communication and inadequate understanding of pre-operative information.
Cory Williams
doaj +1 more source
Nursing Research and Practice, 2017 Objective. The present study aimed to identify the most common learning preferences among the nursing students in Saudi Arabia and to investigate the associations of certain demographic variables with the learning preferences. Methods.
Homood A. Alharbi +3 more
doaj +1 more source