Collective Experience: A Database-Fuelled, Inter-Disciplinary Team-Led Learning System
We describe the framework of a data-fuelled, interdisciplinary team-led learning system. The idea is to build models using patients from one's own institution whose features are similar to an index patient as regards an outcome of interest, in order to predict the utility of diagnostic tests an...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Korean Institute of Information Scientists and Engineers
2012
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| Online Access: | http://hdl.handle.net/1721.1/70971 https://orcid.org/0000-0001-8593-9321 https://orcid.org/0000-0002-6318-2978 https://orcid.org/0000-0002-6554-061X |