3 Matching Annotations
- Oct 2020
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s3.us-west-2.amazonaws.com s3.us-west-2.amazonaws.com
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480Gabriela Grosseck / Procedia Social and Behavioral Sciences 1 (2009) 478–482 2. Web 2.0 – Opportunities and Challenges for Higher
Great perspectives considering you're making an investment...you would want to know the advantages.
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- Sep 2020
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www.thelancet.com www.thelancet.com
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Wilkinson, Jack, Kellyn F. Arnold, Eleanor J. Murray, Maarten van Smeden, Kareem Carr, Rachel Sippy, Marc de Kamps, et al. ‘Time to Reality Check the Promises of Machine Learning-Powered Precision Medicine’. The Lancet Digital Health 0, no. 0 (16 September 2020). https://doi.org/10.1016/S2589-7500(20)30200-4.
Tags
- clinical science
- clinical practice
- algorithmic complexity
- prediction of individual responses
- machine learning
- collaboration
- revolution
- personalised medical approach
- machine learning powered precision medicine
- lang:en
- challenges
- improved diagnosis
- is:report
- electronic health database
Annotators
URL
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- Nov 2018
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www.learntechlib.org www.learntechlib.org
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Adult learners face numerous challenges that include changing definitions, overcoming circumstances, relearning, and motivation. Addressing these challenges in a timely and personal way is especially important in distance learning environments. This roundtable will discuss how WGU addresses these challenges and prepares educators in a manner independent of place and time.
This article discusses ways to help adults in distance learning environments. The panelists are university workers sharing how they address the issues.
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