Results 41 to 50 of about 165,078 (298)

Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham, Sahana Sathyanarayana, Charlotte B. Stewart, Robyn Iredale, Victoria Foster, Debra Galley, Mark Baker, Nicola Pavese   +7 more
wiley   +1 more source

Comparative Study of AutoML Approach, Conventional Ensemble Learning Method, and KNearest Oracle-AutoML Model for Predicting Student Dropouts in Sub-Saharan African Countries

Applied Artificial Intelligence, 2022
Student dropout in secondary schools is a major issue in developing countries, particularly in Sub-Saharan Africa. Sub-Saharan African countries had the highest dropout rate (37.5%), followed by South Asia (15.5%), the Middle East (11%), East Asia (9.5%),
Yuda N Mnyawami, Hellen H Maziku, Joseph C Mushi   +2 more
doaj   +1 more source

Analysis of First-Year University Student Dropout through Machine Learning Models: A Comparison between Universities

Mathematics, 2021
Student dropout, defined as the abandonment of a high education program before obtaining the degree without reincorporation, is a problem that affects every higher education institution in the world.
Diego Opazo, Sebastián Moreno, Eduardo Álvarez-Miranda, Jordi Pereira   +3 more
doaj   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Dropout at university level in Serbia: Analysis of measurement, research findings, services and prevention measures [PDF]

Zbornik Instituta za pedagoška istraživanja, 2020
Dropout in higher education attracts great attention due to serious effects on an individual and on society. This is an exploratory study aimed at: analysing drop­out measurement and tracking in the Serbian higher education, reviewing studies on
Stepanović-Ilić Ivana, Tošković Oliver, Krstić Ksenija, Videnović Marina   +3 more
doaj   +1 more source

Capturing "attrition intensifying" structural traits from didactic interaction sequences of MOOC learners [PDF]

, 2014
This work is an attempt to discover hidden structural configurations in learning activity sequences of students in Massive Open Online Courses (MOOCs). Leveraging combined representations of video clickstream interactions and forum activities, we seek to
Dillenbourg, Pierre, Jermann, Patrick, Li, Nan, Sinha, Tanmay   +3 more
core   +2 more sources

Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler, Vivian Maas, Arian Taheri Amin, Jennifer Faber, Tamara Schaprian, Katharina Hill, Matthis Synofzik, Lisa H. Graf, Heike Jacobi, Manuela Lima, Ana F. Ferreira, Bart P. van de Warrenburg, Ilse H. J. Willemse, Dagmar Timmann, Andreas Thieme, Paola Giunti, Hector Garcia‐Moreno, Magda M. Santana, Jeannette Hübener‐Schmid, Elin H. Davies, Thomas Klockgether   +20 more
wiley   +1 more source

Dropout: Demographic Profile of Brazilian University Students

Procedia - Social and Behavioral Sciences, 2016
AbstractThis study analyses dropout in higher education, a worldwide problem seen in the literature of developed and developing countries. The aim of the study is to explain dropout in Brazil's private higher education. Dropout is defined as the interruption of studies by students in higher education enrolled for any length of time, regardless of ...
Bonaldo, Luciane, Pereira, Luis
openaire   +2 more sources

Dropout Prediction by Interpretable Machine Learning Model Towards Preventing Student Dropout

, 2022
In the education industry, the needs of online learning are significantly increasing. However, the web-based courses demonstrate higher dropout rates than traditional education courses. As a result, engaging students with data analysis is getting more crucial especially for distance learning.
Katsuragi, Miki, Tanaka, Kenji
openaire   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source