Holistic Modeling of Chronic Diseases for Recommendation Elaboration and Decision Making
| Autor: | Alexey N. Yakovlev, Oleg G. Metsker, Nadezhda Zvartau, A. Semakova, Anna Lutsenko, Sergey V. Kovalchuk, Anastasia A. Funkner, Marina Balakhontceva |
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| Rok vydání: | 2018 |
| Předmět: |
Decision support system
education.field_of_study Computer science Population Disease progression Treatment process 02 engineering and technology Conceptual basis 03 medical and health sciences 0302 clinical medicine Chronic disease 030228 respiratory system Risk analysis (engineering) 0202 electrical engineering electronic engineering information engineering General Earth and Planetary Sciences 020201 artificial intelligence & image processing education Elaboration General Environmental Science |
| Zdroj: | Procedia Computer Science. 138:228-237 |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2018.10.033 |
| Popis: | This paper presents conceptual basis and early results within the research project aimed towards the development of a holistic approach for modeling of chronic disease progression for recommendation elaboration and decision making. The key issues which form the research problem include a high diversity of patients’ population, simultaneous appearance of multiple chronic diseases, aged patients as a major target group. Also, one of the most important problems being raised in this research is limited observation available for chronic diseases as the long development of chronic disease is usually happening outside the hospital. The approach is based on systematization and collection of data from diverse sources and models describing various aspects of disease progression, life conditions, treatment process within a single comprehensive solution. The goal of such solution is lowering of existing limitation and uncertainty for predictive modeling and simulation of chronic diseases. A target application of the approach considered within the project is decision support systems for both patients and physicians during treatment of chronic disease. Within the presented paper early results are performed on the analysis of arterial hypertension patients treatment process within the developed approach. |
| Databáze: | OpenAIRE |
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