- Tytuł:
- Mining clinical pathways for daily insulin therapy of diabetic children
- Autorzy:
-
Deja, Rafal
Froelich, Wojciech
Deja, Grazyna - Powiązania:
- https://bibliotekanauki.pl/articles/1838183.pdf
- Data publikacji:
- 2021
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
decision support systems
modeling clinical pathways
diabetes mellitus
systemy wspomagania decyzji
modelowanie ścieżek klinicznych
cukrzyca - Opis:
- 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.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2021, 31, 1; 107-121
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł