2004 | OriginalPaper | Buchkapitel
Ordered Time-Independent CIG Learning
verfasst von : David Riaño
Erschienen in: Biological and Medical Data Analysis
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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Clinical practice guidelines are medical and surgical statements to assist practitioners in the therapy procedure. Recently, the concept computer-interpretable guideline (CIG) has been introduced to describe formal descriptions of clinical practice guidelines. Ordered time-independent one-visit CIGs are a sort of CIG wich are able to cope with the description and use of real therapies. Here, this representation model and a machine learning algorithm to construct such CIGs from the hospital databases or from predefined CIGs are introduced and tested within the domain of attrial fibrillation.