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...

Full description

Bibliographic Details
Main Authors: Celi, Leo Anthony G., Mark, Roger Greenwood, Lee, Joon, Scott, Daniel, Panch, Trishan
Other Authors: Harvard University--MIT Division of Health Sciences and Technology
Format: Article
Language:en_US
Published: Korean Institute of Information Scientists and Engineers 2012
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