Results 161 to 170 of about 31,155,536 (302)

A Data-Driven Learning Method for Constitutive Modeling: Application to Vascular Hyperelastic Soft Tissues. [PDF]

Materials (Basel), 2020
González D, García-González A, Chinesta F, Cueto E.   +3 more
europepmc   +1 more source

ACM SIGCOMM Workshop on Big Data Analytics and Machine Learning for Data Communication Networks [PDF]

, 2017
The explosion in volume and heterogeneity of data communication network measurements opens the door to the massive applica- tion of machine learning and artificial intelligence technology in networking.
Casas P., Zseby T., Mellia M., Dainotti A.   +3 more
core  

Clinical Variability and Genotype Driven Outcomes in an International Cohort of 14 Pediatric FIG4 Patients

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Biallelic FIG4 variants classically cause distinct conditions characterized by peripheral neuropathy (Charcot‐Marie‐Tooth disease type 4J) or skeletal dysplasia (Yunis‐Varón syndrome). However, central nervous system involvement is increasingly recognized. The prevalence and specific characteristics of movement disorders within FIG4‐
Andrea Gangfuß, Vykuntaraju K. Gowda, Daniel Natera‐de Benito, Pinki Munot, Maria Vanegas, Alejandra Darling, Constanze Reutlinger, Laura Carrera‐Garcia, Gilbert Wunderlich, Heike Kölbel, Burkhard Stüve, David Muhmann, Lucía Monfort Belenguer, Diana‐Gabriela Barca, Viveka Santhosh Reddy C, Varunvenkat M. Srinivasan, Cristina Molina Anguita, Heinz Jungbluth, Hormos Salimi Dafsari, Thomas Rossor, Johann Böhm, Ulrike Schara‐Schmidt, Andreas Roos   +22 more
wiley   +1 more source

Toward Data-Driven Learning Healthcare Systems in Interventional Radiology: Implementation to Evaluate Venous Stent Patency. [PDF]

J Digit Imaging, 2020
Cohn DM, Mabud TS, Arendt VA, Souffrant AD, Jeon GS, An X, Kuo WT, Sze DY, Hofmann LV, Rubin DL.   +9 more
europepmc   +1 more source

Applications of Panel Data and Machine Learning Algorithms for Data-Driven Decision-Making

APPLICATIONS OF PANEL DATA AND MACHINE LEARNING ALGORITHMS FOR DATA-DRIVEN DECISION-MAKING Applications of Panel Data and Machine Learning Algorithms for Data-Driven Decision-Making (Rights reserved) (-

core  

Humanizing Assessment in the USA-Learning Stories: Relationship-Driven Work in a Data-Driven World

, 2017
No abstract available.Humanizing Assessment in the USA-Learning Stories: Relationship-Driven Work in a Data-Driven World. with A. Muse and L. Voss. Celebrating Learning Stories Conference.
Annie White
core  

Axial Function Reflects Global Severity in Inherited Ataxias: The Upright Stability Score in Ambulatory Friedreich vs. Spinocerebellar Ataxia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Inherited ataxias are clinically diverse neurodegenerative diseases, complicating the choice of outcome measures for trials. In spinocerebellar ataxia (SCA), regulatory concerns about the Scale for the Assessment and Rating of Ataxia (SARA) caused a shift toward functional SARA (f‐SARA), contributing to pivotal trial failure.
Christian Rummey, S. H. Subramony, David R. Lynch, Louise A. Corben, Martin B. Delatycki, Jörg B. Schulz, Kathrin Reetz, Massimo Pandolfo, Matthis Synofzik, Theresa Zesiewicz, Antoine Duquette, Matthew Burns, Martin Vyhnálek, Lucie Stovickova, Sinead M. Murphy, Petya Bogdanova‐Mihaylova, Mary Kearney, Richard Walsh, Richard H. Roxburgh, Khalaf Bushara, Marie Y. Davis, Enrico S. Bertini, Gessica Vasco, Shweta Sahni, Mohammed Faruq, Achal K. Srivastava, Bart van de Warrenburg, Elisabetta Indelicato, Sylvia Boesch, Andrew Billnitzer, Tetsuo Ashizawa, Anoopum S. Gupta, Grace Yoon, Georgios Koutsis, Chrysoula Koniari, Zofia Fleszar, Christopher M. Gomez, Andrea Martinuzzi, Gabriella Paparella, Ali G. Hamedani, Puneet Opal, Rizwan S. Akhtar, Caterina Mariotti, Henry Paulson, Peter Todd, Sharan R. Srinivasan, George Wilmot, Ludger Schöls, Susan Perlman, Jeremy D. Schmahmann, Sheng‐Han Kuo, Liana S. Rosenthal, Vikram G. Shakkottai   +52 more
wiley   +1 more source

Parkinson Disease Subtype Stability and Eventual Convergence

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Previous research identified distinct Parkinson disease (PD) clinical subtypes of “Motor Only,” “Psychiatric & Motor,” and “Cognitive & Motor” based on comprehensive, multidomain classification. Whether these subtypes reflect distinct trajectories or progressive disease stages remains unknown.
Laura M. Rosok, Christina N. Lessov‐Schlaggar, Abdulmunaim M. Eid, Erin R. Foster, Baijayanta Maiti, Hailee Domash, Helen Hwang, Richard J. Perrin, Paul T. Kotzbauer, Joel S. Perlmutter, Meghan C. Campbell   +10 more
wiley   +1 more source

Automatic Lesion Morphometrics Reliably Predict Sensorimotor Recovery After Spinal Cord Injury: A Longitudinal, Multicenter Neuroimaging Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate automatic magnetic resonance imaging (MRI)‐derived lesion morphometrics against manual measurements and their prognostic value for characterizing distinct acute to chronic neurological recovery trajectories after spinal cord injury (SCI). Methods We studied a retrospective, multicenter cohort of cervical and thoracolumbar
Dario Pfyffer, Jan Valošek, Lynn Farner, Enamundram Naga Karthik, Gergely David, Norbert Weidner, Rainer Abel, Doris Maier, Armin Curt, Margret Hund‐Georgiadis, Mirko Aach, Michael Baumberger, Julien Cohen‐Adad, Patrick Freund, the Nogo Inhibition in Spinal Cord Injury Study Group, Rainer Abel, Kerstin Rehahn, Mirko Aach, Klaus Röhl, Norbert Weidner, Marion Saur, Nikolaus Weiskopf, Doris Maier, Andreas Badke, Margret Hund‐Georgiadis, Michael Baumberger, Armin Curt, Jesus Benito‐Penalva, Jiri Kriz   +28 more
wiley   +1 more source

Four‐Year Cognitive Outcomes in Multiple Sclerosis: Associations With Lesion Myelin Integrity

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Cognitive impairment is prevalent in patients with multiple sclerosis (MS) but whether lesion myelin integrity influences future cognitive outcomes remains unclear. We investigated the relationship between baseline lesion myelin water fraction (MWF) and cognitive performance 4 years later.
Iliana Pliska‐Bloch, Hannah Schwartz, Kimberly H. Markowitz, Abhishek Jaywant, Christopher D. Hildenbrand, Jai Perumal, Ulrike W. Kaunzner, Thanh D. Nguyen, Sandra Hurtado Rúa, Susan A. Gauthier   +9 more
wiley   +1 more source