Mining clinical pathways for daily insulin therapy of diabetic children

• Autorzy: Deja Rafal , Froelich Wojciech , Deja Grazyna

Identyfikatory

DOI

10.34768/amcs-2021-0008

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

decision support systems; modeling clinical pathways; diabetes mellitus

PL

systemy wspomagania decyzji; modelowanie ścieżek klinicznych; cukrzyca

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2021
• Tom: Vol. 31, no. 1
• Strony: 107--121
• Opis fizyczny: Bibliogr. 33 poz., rys., tab.

Twórcy

autor

Deja Rafal

• Department of Computer Science, WSB University, ul. Cieplaka 1c, 41-300 Dąbrowa Górnicza, Poland

autor

Froelich Wojciech

• Institute of Computer Science, University of Silesia, ul. Będzińska 39, 41-205 Sosnowiec, Poland

autor

Deja Grazyna

• Department of Children’s Diabetology, Medical University of Silesia, ul. Medykow 15, 40-752 Katowice, Poland

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).