Mining clinical pathways for daily insulin therapy of diabetic children

• Main Authors: Deja Rafal, Froelich Wojciech, Deja Grazyna
• Format: Article
• Language: English
• Published: Sciendo 2021-03-01
• Series: International Journal of Applied Mathematics and Computer Science
• Subjects: decision support systems; modeling clinical pathways; diabetes mellitus
• Online Access: https://doi.org/10.34768/amcs-2021-0008

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.