Results 1 to 10 of about 106,733 (192)

Machine learning and synthetic outcome estimation for individualised antimicrobial cessation

Frontiers in Digital Health, 2022
The decision on when it is appropriate to stop antimicrobial treatment in an individual patient is complex and under-researched. Ceasing too early can drive treatment failure, while excessive treatment risks adverse events.
William J. Bolton, William J. Bolton, William J. Bolton, Timothy M. Rawson, Timothy M. Rawson, Bernard Hernandez, Bernard Hernandez, Richard Wilson, Richard Wilson, David Antcliffe, David Antcliffe, Pantelis Georgiou, Pantelis Georgiou, Alison H. Holmes, Alison H. Holmes, Alison H. Holmes   +15 more
doaj   +5 more sources

Neurofind: using deep learning to make individualised inferences in brain-based disorders [PDF]

Translational Psychiatry
Within precision psychiatry, there is a growing interest in normative models given their ability to parse heterogeneity. While they are intuitive and informative, the technical expertise and resources required to develop normative models may not be ...
S. Vieira, L. Baecker, W. H. L. Pinaya, R. Garcia-Dias, C. Scarpazza, V. Calhoun, A. Mechelli   +6 more
doaj   +5 more sources

On-demand generation of individualised language learning lessons

Ho Chi Minh City Open University Journal of Science - Social Sciences, 2014
This paper is in two parts. In the first part a theoretical structure for learning and teaching foreign/second languages is described in some detail. It argues that knowledge is not transmitted to students but that it is an internal construction which ...
Andrew Lian
doaj   +1 more source

Personalised learning in higher education for health sciences: a scoping review [PDF]

BMC Medical Education
Background Personalised learning approaches have gained increasing attention in higher education, particularly in health sciences, due to their potential to enhance student engagement and learning outcomes.
Majid Ali, Izyan A. Wahab, Hasniza Zaman Huri, Muhamad Saiful Yusoff   +3 more
doaj   +2 more sources

Personalised versus non-individualised case-based CME: A randomised pilot study

Journal of European CME, 2022
The PinPoint Case Platform (PPCP) offers independent online case-based CME. To align with personal learning needs, a functionality of needs assessments (“QuickScan”) was developed, directing users to follow personalised case journeys.
Herman Stoevelaar, Amit Bahl, Nicky Helsen, Nele R.M. Michels, Louis Smets, Mark J. Speakman, Johan Stranne, Jaan Toelen, Frank Van der Aa, Luc Van Ruysevelt, Jessa Yperman, Thomas Zilli, Bertrand F. Tombal, Martin C. Michel   +13 more
doaj   +1 more source

Automated Diet and Exercise Suggestion based on Obesity Classification [PDF]

E3S Web of Conferences, 2023
Obesity is a problem that affects the general health and wellness of many people around the world. The paper seeks to provide an automated individualised dietary and exercise suggestions based on an individual’s obesity class.
Annapoorna E., Nithin Sai Palreddy, Raj Shreyas Goud Konda, Koushik Kourikanti, Saini Manisha   +4 more
doaj   +1 more source

Editorial

Tuning Journal for Higher Education, 2020
Since the last edition of the Journal, six months ago, the world has experienced not only the first wave of COVID 19, but for many countries they are now in the grip of the second wave.
Mary Gobbi
doaj   +1 more source

Learning from electronic prescribing errors: a mixed methods study of junior doctors’ perceptions of training and individualised feedback data

BMJ Open, 2022
Objectives To explore the views of junior doctors towards (1) electronic prescribing (EP) training and feedback, (2) readiness for receiving individualised feedback data about EP errors and (3) preferences for receiving and learning from EP feedback ...
Bryony Dean Franklin, Monsey McLeod, Ann Chu, Arika Kumar, Geraldine Depoorter   +4 more
doaj   +1 more source

A robust and interpretable machine learning approach using multimodal biological data to predict future pathological tau accumulation

Nature Communications, 2022
The authors present a machine learning approach that combines baseline multimodal data to accurately predict individualised trajectories of future pathological tau accumulation at asymptomatic and mildly impaired stages of Alzheimer’s disease.
Joseph Giorgio, William J. Jagust, Suzanne Baker, Susan M. Landau, Peter Tino, Zoe Kourtzi, Alzheimer’s Disease Neuroimaging Initiative   +6 more
doaj   +1 more source

School Buildings for the 21st Century: Some Features of New School Buildings in Iceland

Center for Educational Policy Studies Journal, 2011
The aim of this study is to identify features of change in the recent design of school buildings in Iceland, and how they might affect teaching practices.
Anna Kristín Sigurðardóttir, Torfi Hjartarson   +1 more
doaj   +1 more source