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Learning to Adapt for Case-Based Design
2002Design is a complex open-ended task and it is unreasonable to expect a case-base to contain representatives of all possible designs. Therefore, adaptation is a desirable capability for case-based design systems, but acquiring adaptation knowledge can involve significant effort.
Nirmalie Wiratunga, Susan Craw, Ray Rowe
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Fibromyalgia Syndrome: Case-Based Learning
CNS Spectrums, 2009Case-based learning is often considered a new innovation in medical teaching, but it is actually as old as clinical medicine. Physicians have always consulted with their peers on difficult cases and utilized the case-based form of discussion as an educational tool, as a means of understanding new diagnoses, and as a method of determining the best ...
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Problem-Based Learning and Case-Based Learning
2022Joerg Zumbach, Claudia Prescher
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Machine learning for microbiologists
Nature Reviews Microbiology, 2023Francesco Asnicar +2 more
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Machine learning methods to model multicellular complexity and tissue specificity
Nature Reviews Materials, 2021Rachel S G Sealfon +2 more
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Machine learning sheds light on microbial dark proteins
Nature Reviews Microbiology, 2023A T Hammack +2 more
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Chart-based, case-based learning.
South Dakota medicine : the journal of the South Dakota State Medical Association, 2007The current trend in medical education is to encourage self-directed learning and problem-solving skills while decreasing passive learning. To support this educational trend, one needs to identify and develop new methods of providing problem-based and case-based learning.Developing, implementing and evaluating a chart-based case that more closely ...
Susan M, Anderson, Scott B, Helberg
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Deep learning shapes single-cell data analysis
Nature Reviews Molecular Cell Biology, 2022Qin Ma, Dong Xu
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