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Mining clinical pathways for daily insulin therapy of diabetic children

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 hea...

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Bibliographic Details
Published in:International journal of applied mathematics and computer science 2021-03, Vol.31 (1), p.107-121
Main Authors: Deja, Rafal, Froelich, Wojciech, Deja, Grazyna
Format: Article
Language:English
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Summary: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.
ISSN:1641-876X
2083-8492
DOI:10.34768/amcs-2021-0008