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Paper details
Number 1 - March 2021
Volume 31 - 2021
Mining clinical pathways for daily insulin therapy of diabetic children
Rafal Deja, Wojciech Froelich, Grazyna Deja
Abstract
We propose a decision support framework (DSF) assisting insulin therapy of diabetic children. Our DSF relies on a medical
treatment graph (MTG), which models and graphically represents clinical pathways. Using the MTG, it is possible to
plan and adapt medical decisions dependent upon the current health state of a patient and the progress of the treatment.
Our MTG fits well with the requirements of clinical practice. The presented work is a cooperative effort of researchers in
computer science and medicine. The MTG model has been thoroughly tested and validated using real-world clinical data.
The usefulness of the approach has been confirmed by physicians.
Keywords
decision support systems, modeling clinical pathways, diabetes mellitus