Hybrid approach to the generation of medical guidelines for insulin therapy for children
Autor: | Rafa Deja, Grayna Deja, Wojciech Froelich, Alicja Wakulicz-Deja |
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Rok vydání: | 2017 |
Předmět: |
medicine.medical_specialty
Information Systems and Management Computer science medicine.medical_treatment 030209 endocrinology & metabolism 02 engineering and technology Disease computer.software_genre Disease cluster Theoretical Computer Science 03 medical and health sciences 0302 clinical medicine Artificial Intelligence 0202 electrical engineering electronic engineering information engineering Juvenile diabetic medicine Medical physics Event (probability theory) Insulin Hybrid approach Computer Science Applications Control and Systems Engineering Cohort Graph (abstract data type) 020201 artificial intelligence & image processing Data mining computer Software |
Zdroj: | Information Sciences. 384:157-173 |
ISSN: | 0020-0255 |
DOI: | 10.1016/j.ins.2016.07.066 |
Popis: | To support doctors in planning insulin therapy for juvenile diabetic patients, we propose in this paper a new approach to the generation of formal medical guidelines. In the first stage of our approach, we cluster static patients data to obtain patient cohorts with similar medical characteristics. In the second stage, for every patient of the cohort, we model the course of the disease. Using discretization and a symbolic time scale, we convert numerical data to the sequence of events. Then, we define the notion of a compound event reflecting the basic unit of the pre-meal insulin therapy. The course of the disease is modeled as a sequence of compound events. To discover the patterns of such events, we propose a new algorithm based on the concept of frequent episodes. The patterns that were obtained are presented to physicians in form of a graph that illustrates the possible pathway of the therapy. Using the proposed approach, it is possible to model both mutual similarity and repetitiveness of the prescribed treatments. The proposed method was evaluated using the actual medical data of juvenile diabetic patients. We obtained encouraging results that have been evaluated positively by doctors. |
Databáze: | OpenAIRE |
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