Ordered Time-Independent GIG Learning

摘要

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.