Results 131 to 140 of about 7,562,562 (305)

A Data Warehousing Framework for Predictive Analytics in Higher Education: A Focus on Student at-Risk Identification

SEEU Review
This paper will examine the development of a data warehouse aimed at improving decision-making in higher education, which focuses on the identification of students at-risk of academic failure through machine learning techniques.
Ismaili Burim, Besimi Adrian
doaj   +1 more source

Implementing Predictive Analytics in Academic Advising

The Mentor: Innovative Scholarship on Academic Advising
This paper examines how academic advisers interpret and apply predictive analytic tools, what training is necessary for advisers to best prepare them to use predictive data appropriately, and what institutional and end-user needs should be anticipated and supported when using predictive analytics in advising.
Hannah Williams, Janet Schulenberg, Benjamin Hellar, David Smith   +3 more
openaire   +1 more source

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig, Nadav Amir, Maya Schiller, Roni Loebenstein, Johnatan Nissan, Marina Boxer, Shany Guly Gofrit, Gal Goshen, Sándor Beniczky, Nicola Maggio   +9 more
wiley   +1 more source

A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi, Giorgio Ricciardiello Mejia, Andre Metzger, Kang Hyun Ryu, Salonee Marwaha, Eva Grzegorczyk, Li Zhou, Eliana Jacobs, Boris Gilyadov, Claudia Kunney, Liqhwa Ncube, Ankit Parekh, Emmanuel Mignot, Fanny M. Elahi, Joseph Winer, Kathleen Poston, Andreas Brink‐Kjaer, Emmanuel H. During   +17 more
wiley   +1 more source

Metabolic alteration in oxylipins and endocannabinoids point to an important role for soluble epoxide hydrolase and inflammation in Alzheimer’s disease—finding from Alzheimer’s Disease Neuroimaging Initiative

Alzheimer’s Research & Therapy
Mounting evidence implicates inflammation as a key factor in Alzheimer’s disease (AD) development. We previously identified pro-inflammatory soluble epoxide hydrolase (sEH) metabolites to be elevated in plasma and CSF of AD participants and to be ...
Kamil Borkowski, Chunyuan Yin, Alida Kindt, Nuanyi Liang, Elizabeth de Lange, Colette Blach, John W. Newman, Rima Kaddurah-Daouk, Thomas Hankemeier, the Alzheimer’s Disease Neuroimaging Initiative   +9 more
doaj   +1 more source

A Governance-Aware Private Cloud Architecture for Scalable Multi-Provider Vehicle-Based Multimodal Sensing

Sensors
Vehicle-mounted sensing enables high-resolution urban monitoring but remains constrained by heterogeneous multimodal integration, intermittent connectivity, privacy-sensitive visual data, and the absence of enforceable multi-provider governance.
Zdravko Kunić, Vedran Dakić, Zlatan Morić   +2 more
doaj   +1 more source

Neurochemical Endpoints to Inform Early‐Stage Trials of Spinocerebellar Ataxia 2 and 3 in a Multisite Setting

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neurochemical levels measured by brain MR spectroscopy (MRS) have been proposed as endpoints for clinical trials in early‐stage spinocerebellar ataxia (SCA) trials. We tested their trial‐readiness by quantifying neurochemicals in three affected brain regions in early‐stage cohorts of SCA2 and SCA3, examining their reproducibility in ...
James M. Joers, Yaqiao Wei, Dinesh K. Deelchand, Adam Berrington, Young Woo Park, Guita Banan, Michal Povazan, Jens T. Rosenberg, André J. W. van der Kouwe, Tetsuo Ashizawa, Khalaf O. Bushara, Chiadi U. Onyike, Sub H. Subramony, Jeremy D. Schmahmann, Brian J. Soher, Peter B. Barker, Thomas H. Mareci, Eva‐Maria Ratai, Lynn E. Eberly, Gülin Öz   +19 more
wiley   +1 more source

Interaction of Intraprocedural Antiplatelets and Intravenous Thrombolysis in Acute Intracranial Stenting: RESISTANT Registry Subanalysis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction/Objective Acute intracranial stenting during endovascular thrombectomy (EVT) for ischemic stroke requires intraprocedural antiplatelet therapy (APT) to maintain patency. However, the hemorrhagic risk of combining APT with intravenous thrombolysis (IVT) remains uncertain.
Aaron Rodriguez‐Calienes, Leonardo Cruz‐Criollo, Eric Kontowicz, Marta Olivé‐Gadea, Francesco Diana, Johannes Kaesmacher, Adnan Mujanovic, Serdar Geyik, Songul Senadim, Amedeo Cervo, Andrea Salcuni, Mariangela Piano, Manuel Moreu, Alfonso López‐Frías, Ameer E. Hassan, Samantha Miller, Elena Zapata‐Arriaza, Asier de Albóniga‐Chindurza, Mauro Bergui, Stefano Molinaro, João André Sousa, Fábio Gomes, João Sargento‐Freitas, Andrea Alexandre, Alessandro Pedicelli, Jeremy Hofmeister, Paolo Machi, Luca Scarcia, Erwah Kalsoum, Jose Amorim, Torcato Meira, Leonardo Renieri, Francesco Capasso, Daniele Romano, Eduardo Bárcena‐Ruiz, David Seoane, Mohamad Abdalkader, Piers Klein, Thanh N. Nguyen, Catarina Perry da Câmara, Anderson Brito, Nashwa Abdelhakim, Isabel Fragata, Dileep R. Yavagal, Jude H. Charles, Jose Rodriguez Castro, Pedro Vega, Atilla Özcan Özdemir, Zehra Uysal Kocabaş, Stanislas Smajda, Sadiq Al Salman, Jane Khalife, Tudor G. Jovin, Francesco Biraschi, Francesca Richetti, Pedro Castro, Luis Albuquerque, Adnan Siddiqui, Vinay Jaikumar, Pedro Navia, Nikolaos Ntoulias, Marios Psychogios, Mariano Velo, Joaquín Zamarro, Gonzalo de Paco, Yazan Ashouri, Mohammad AlMajali, Juan F. Arenillas, Alicia Sierra, Michele Romoli, João Pedro Marto, Shadi Yaghi, Marc Ribo, Alejandro Tomasello, Manuel Requena, Santiago Ortega‐Gutierrez   +75 more
wiley   +1 more source

Academic Board Academic Committee G

, 2016
This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete.
University Of Melbourne. Academic Board. Academic Sub-Committee
core  

Using AI to forecast student dropout risk in technical education using a learning analytics approach

Scientific Reports
The integration of artificial intelligence and learning analytics in higher education creates new opportunities for adaptive curriculum design and evidence-based decision-making.
Olga Ovtšarenko
doaj   +1 more source