Results 121 to 130 of about 8,740,437 (317)

Learning Analytics : terminologie du Learning Analytics.

, 2018
L’objectif principal est de préciser les définitions dans le domaine de l’éducation des termes suivants (souvent anglais) : Learning analytics, educational data mining, deep learning , learning machine, adaptive Learning, etc.
Djoudi, Mahieddine, Luengo, Vanda, Kechaï, Hassina, François Cerisier, Jean, Maugard, Emmanuel, Cherigny, Florence, Champalle, Olivier, Iksal, Sébastien, Beust, Pierre   +8 more
openaire   +1 more source

The skills required for transition to university and study in biological sciences: A student perspective

FEBS Open Bio, EarlyView.
Bioscience students were asked for their opinions on the value and teaching of skills. 204 responded that teamwork, time management and study skills are necessary to reach University, that scientific writing, research, laboratory and presentation skills are taught effectively during their studies, while other skills are gained inherently through study ...
Janella Borrell, Susan Crennell
wiley   +1 more source

Understanding Evidence-Based Interventions for Cross-Cultural Group Work: A Learning Analytics Perspective [PDF]

, 2016
As the numbers of international students worldwide continue to rise, one common challenge is how best to socially integrate diverse groups of students.
Mittelmeier, Jenna
core  

Long‐Term Follow‐Up of Chemotherapy‐Associated Biological Aging in Women With Early Breast Cancer

Aging and Cancer, EarlyView.
Women threated with adjuvant chemotherapy for early breast cancer have sustained long‐term increase in p16INK4a,, a robust marker of cell senescence, suggesting a chemotherapy‐associated age acceleration. p16INK4a as well as other biomarkers may identify patients at greatest risk for senescence‐related diseases of aging.
Hyman B. Muss, Alexis C. Wardell, Allison M. Deal, Kirsten A. Nyrop, Allison Ross, Yara G. Abdou, Jeffrey D. Aldrich, Lisa A. Cary, E. Claire Dees, Katherine E. Reeder‐Hayes, Emily M. Ray, Natalia Mitin, Denis Tsygankov   +12 more
wiley   +1 more source

Machine Learning-Driven Predictive Analytics for Real-Time Supply Chain Risk Management

Proceedings of the International Conference on Applied Innovations in IT
A resilient and efficient supply chain requires real-time risk management in an increasingly volatile global marketplace. This study examines a supply chain risk management system based on machine learning-driven prediction analytics.
Nagham Ja’far Hussein, Abdulhussein Mansoor Ali   +1 more
doaj   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Wearable Current-Based ECG Monitoring System with Non-Insulated Electrodes for Underwater Application

Applied Sciences, 2017
The second most common cause of diving fatalities is cardiovascular diseases. Monitoring the cardiovascular system in actual underwater conditions is necessary to gain insights into cardiac activity during immersion and to trigger preventive measures. We
Stefan Gradl, Tobias Cibis, Jasmine Lauber, Robert Richer, Ruslan Rybalko, Norman Pfeiffer, Heike Leutheuser, Markus Wirth, Vinzenz von Tscharner, Bjoern M. Eskofier   +9 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

Hospital Readmission After Traumatic Brain Injury Hospitalization in Community‐Dwelling Older Adults

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the risk of hospital readmission after an index hospitalization for TBI in older adults. Methods Using data from the Atherosclerosis Risk in Communities (ARIC) study, we used propensity score matching of individuals with an index TBI‐related hospitalization to individuals with (1) non‐TBI hospitalizations (primary analysis)
Rachel Thomas, Connor A. Law, Joan A. Casey, Thomas Mosley, Rebecca F. Gottesman, Ramon Diaz‐Arrastia, Holly Elser, Andrea L. C. Schneider   +7 more
wiley   +1 more source

“MigraineMonitor” – Towards a System for the Prediction of Migraine Attacks using Electrostimulation

Current Directions in Biomedical Engineering, 2018
Migraine attacks can be accompanied by many different symptoms, some of them appearing within 24 hours before the onset of the headache. In previous work, reduced habituation to an electrical pain stimulus at the head was observed in the pre-ictal phase ...
Stefke Andrea, Wilm Frauke, Richer Robert, Gradl Stefan, Eskofier Bjoern M., Forster Clemens, Namer Barbara   +6 more
doaj   +1 more source