Mining clinical pathways for daily insulin therapy of diabetic children

Deja, Rafal ; Froelich, Wojciech ; Deja, Grazyna

International Journal of Applied Mathematics and Computer Science, Tome 31 (2021) no. 1, pp. 107-121.

Résumé

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.

Détail

Keywords: decision support systems, modeling clinical pathways, diabetes mellitus
Mots-clés : systemy wspomagania decyzji, modelowanie ścieżek klinicznych, cukrzyca

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