Results 241 to 250 of about 117,399 (299)

Development and preclinical evaluation of a hybrid stereoelectroencephalographic–laser depth electrode for magnetic resonance imaging‐guided interstitial thermal therapy in drug‐resistant epilepsy

Epilepsia, EarlyView.
Abstract Objective This study was undertaken to design and validate a hybrid depth electrode combining stereoelectroencephalographic (sEEG) recording and magnetic resonance‐guided laser interstitial thermal therapy (MRgLITT) under real‐time magnetic resonance thermometry, to streamline the transition from invasive localization to focal ablation in ...
Bertrand Mathon, Karima Mokhtari, Damien Galanaud, Alexandre Carpentier   +3 more
wiley   +1 more source

New Local Estimation Procedure for Nonparametric Regression Function of Longitudinal Data. [PDF]

J R Stat Soc Series B Stat Methodol, 2013
Yao W, Li R.
europepmc   +1 more source

Perampanel as add‐on in high‐grade glioma–related epilepsy: Seizure control and QoL in a prospective, multicenter, real‐world 6‐month follow‐up study

Epilepsia Open, EarlyView.
Abstract Objective High‐grade astrocytomas, including glioblastomas, are aggressive brain tumors with poor prognosis and a 5‐year survival below 7%. Seizures affect up to 75% of glioma patients, especially in low‐grade tumors but also in high‐grade cases.
Matteo Impellizzeri, Paolo Paone, Giada Pauletto, Annacarmen Nilo, Simone Beretta, Andrea Salmaggi, Stefano Consoli, Stefano Quadri   +7 more
wiley   +1 more source

Smartphone videos for infantile epileptic spasms triaging and assessment (VISTA study): Impact of education and standardized clinical history on diagnostic accuracy

Epilepsia Open, EarlyView.
Abstract Objective Diagnostic and treatment delays in infantile epileptic spasms syndrome (IESS) increase the risk of poor neurodevelopmental outcomes. Early clinical recognition of IESS is essential, especially in regions lacking expedited access to electroencephalograms (EEG).
Christine L. Shrock, Margaret C. Savage, Lauren Sham, Christopher Cortina, Kathryn P. Gray, I‐Hsiu Lee, Chahnez C. Triki, Jacqueline French, J. Helen Cross, Orrin Devinsky, Jo M. Wilmshurst, Archana A. Patel   +11 more
wiley   +1 more source

Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now

Journal of Forecasting, EarlyView.
ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley   +1 more source

Improved cardiovascular risk prediction using nonparametric regression and electronic health record data. [PDF]

Med Care, 2013
Kennedy EH, Wiitala WL, Hayward RA, Sussman JB.   +3 more
europepmc   +1 more source

Nowcasting World Trade With Machine Learning: A Three‐Step Approach

Journal of Forecasting, EarlyView.
ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn, Baptiste Meunier, Sebastian Stumpner   +2 more
wiley   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source