Results 271 to 280 of about 5,941,658 (334)

Introducing the D‐DAND scale: Development of a comprehensive caregiver‐administered tool for Dravet syndrome comorbidities

Epilepsia, EarlyView.
Graphical overview of the Dravet Disease–Associated Neuropsychiatric Disorders (D‐DAND) scale. The D‐DAND scale provides a caregiver‐based, comprehensive assessment of developmental and behavioral comorbidities in Dravet syndrome across six domains: motor abilities, language and social interaction, autonomies, academic skills, emotional/behavioral ...
Bernardo Dalla Bernardina, Francesca Offredi, Alessio Toraldo, Lisa Ouss, Delphine Breuillard, Mathilde Cozzo, Tommaso Lo Barco, Isabella Brambilla, Francesca Darra, Rima Nabbout   +9 more
wiley   +1 more source

Statistical modeling of days alive out-of-hospital: An illustration using the SSU trial. [PDF]

J Clin Transl Sci
Wu X, Berger DA, Bischof JJ, Char D, Diercks D, Hess EP, Jones AE, Lane KA, Levy P, Li X, Miller JB, Mahler SA, Pressler SJ, Venkat A, Pang PS, Collins S, Blette BS.   +16 more
europepmc   +1 more source

Comparative multicenter evaluation of thalamic neuromodulation for treatment‐resistant epilepsy in children

Epilepsia, EarlyView.
Abstract Objective Use of neuromodulation strategies targeting thalamic nuclei, including deep brain stimulation (DBS) and responsive neurostimulation (RNS), for treatment of pediatric drug‐resistant epilepsy (DRE) is increasing, despite limited evidence for efficacy and safety. We present the initial results from the Comparative Multicenter Evaluation
Samuel A. Tenhoeve, Nebras M. Warsi, Allison M. Ludwick, Adam C. Glaser, Marcella R. Ruppert‐Gomez, Scellig S. Stone, Megan Votoupal, Jeffrey S. Raskin, Shanique Doyle, Benjamin Kennedy, Deborah Grenard, Dominic Nistal, Hannah E. Goldstein, Jason S. Hauptman, Gavin Yoon, Kurtis I. Auguste, David D. Gonda, Alon Kashanian, Shaun D. Rodgers, Janette Coble, Jarod L. Roland, Nunthasiri Wittayanakorn, Chima O. Oluigbo, Somnath Das, Jasmine A. Thum, Carolina Gorodetsky, MyLoi Huynh, George M. Ibrahim, Robert J. Bollo   +28 more
wiley   +1 more source

Classifying seizures in practice: Testing the 2025 ILAE framework among clinicians in South Africa

Epilepsia, EarlyView.
Abstract Objective The 2025 International League Against Epilepsy (ILAE) seizure classification introduced a basic version for nonspecialists, but its usability is untested. We evaluated whether a multidisciplinary frontline workforce in South Africa could apply it, how consistently, and whether performance improved after self‐directed exposure ...
Aayesha J. Soni, Sarah Jacobs, Muhammad Ilyaas Amien, Abdullah J. Soni, Faeeza Cassim, Sa'ad Lahri, Naeem Brey, Misha Janse van Rensburg, Avumile Nongogo Futwa, Johnre Els, Keashe Adams, Bilal Irfan, M. Claudia Burbano, Jorge G. Burneo   +13 more
wiley   +1 more source

Prognosis of acute symptomatic seizures and impact of prolonged treatment with anti‐seizure medication

Epilepsia, EarlyView.
Abstract Objectives Acute symptomatic epileptic seizures (ASySs) occur in temporal proximity to acute brain insults. Given their low risk of subsequent unprovoked seizures, current guidelines recommend either no treatment with anti‐seizure medication (ASM) or early discontinuation, yet ASM treatment is often continued beyond hospital discharge.
Hannah Traben, Julia Herzig‐Nichtweiß, Lisa Langenbruch, Felix Kohle, Johann O. Pelz, Piergiorgio Lochner, Matthias Wittstock, Albrecht Günther, Angelika Alonso, Marko Blickhan, Silvia Schönenberger, Sascha Berning, Michael P. Malter, Annekatrin Müller, Frauke Röll, Waldemar Gubarev, Kai M. Schubert, Marian Galovic, Maximilian Mönch, Ulrike Grittner, Martin Holtkamp, Farid Salih, Bernd J. Vorderwülbecke, for the IGNITE! Study Group   +23 more
wiley   +1 more source

Factors associated with self- perceived speech impairment in <i>de novo</i> Parkinson's disease: a retrospective study of an international database. [PDF]

Front Aging Neurosci
Thijs Z, Bain K, Dumican M.
europepmc   +1 more source

Ordinal Regression Models

, 2015
openaire   +1 more source

Transductive Ordinal Regression [PDF]

IEEE Transactions on Neural Networks and Learning Systems, 2012
Ordinal regression is commonly formulated as a multi-class problem with ordinal constraints. The challenge of designing accurate classifiers for ordinal regression generally increases with the number of classes involved, due to the large number of labeled patterns that are needed.
Ivor Wai-Hung Tsang, Yew-Soon Ong, Chun-Wei Seah   +2 more
exaly   +7 more sources

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Ordinal Regression With Pinball Loss

IEEE Transactions on Neural Networks and Learning Systems, 2023
Ordinal regression (OR) aims to solve multiclass classification problems with ordinal classes. Support vector OR (SVOR) is a typical OR algorithm and has been extensively used in OR problems.
Guangzheng Zhong, Yan-Shan Xiao, Bo Liu, Liang Zhao, Xiangjun Kong   +4 more
semanticscholar   +4 more sources

Soft Labels for Ordinal Regression

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Ordinal regression attempts to solve classification problems in which categories are not independent, but rather follow a natural order. It is crucial to classify each class correctly while learning adequate interclass ordinal relationships. We present a
Raúl Díaz, A. Marathe
semanticscholar   +2 more sources