Results 101 to 110 of about 68,798 (306)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie +8 more
wiley +1 more source
Sensors, 2018 Robust gait segmentation is the basis for mobile gait analysis. A range of methods have been applied and evaluated for gait segmentation of healthy and pathological gait bouts.
Nooshin Haji Ghassemi +6 more
doaj +1 more source
Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study
Annals 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
Learning Analytics: A Data Mining and Machine Learning Perspective
Sir Syed University Research Journal of Engineering & Technology, 2019 Tremendous proliferation in data generation in the past few years has paved the way for new research and the development of new and improved techniques and algorithms in different fields of science and education. Initially terms like educational data mining emerged as a branch of data mining borrowing techniques from its ancestor.
Salam Ullah Khan +3 more
openaire +3 more sources
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
Accelerating the Big Data Challenge With Machine Learning on Emerging Architectures
, 2016 Presented on September 6, 2016 from 1:00 p.m.-2:30 p.m. at the Klaus Advanced Computing Building, Room 1116W, Georgia Institute of Technology.South Big Data Innovation Hub ; Applications of Analytics and Machine Learning in Energy Industry-Academia ...
Chau, Duen Horng, Qiu, Judy
core
Machine Learning Algorithms for Wealth Data Analytics [PDF]
, 2020 University of Technology Sydney. Faculty of Engineering and Information Technology.The thesis investigates multiple machine learning algorithms with big data approach and applies cutting-edge deep analytics to tackle the challenges in financial wealth ...
Vo, Nhi Ngoc Yen
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Progression independent of relapse activity is a major determinant of long‐term disability in multiple sclerosis, but its immunopathologic basis remains incompletely understood. We investigated whether relapse‐independent progression in radiologically stable relapsing–remitting multiple sclerosis is associated with distinct ...
Antonio Bruno +19 more
wiley +1 more source
Practical Applications of Signal Processing and Machine Learning in a Dynamic Retail Environment
, 2018 Presented on October 31, 2018 at 12:15 p.m. in the Marcus Nanotechnology Building, Room 1116.Graham Poliner is the SVP of Strategy and Analytics at Macy’s, Inc.
Poliner, Graham
core +1 more source
Frontiers in Bioengineering and BiotechnologyPortable measurement systems using inertial sensors enable motion capture outside the lab, facilitating longitudinal and large-scale studies in natural environments.
Marlies Nitschke +5 more
doaj +1 more source