2017 № 2 Patient adherence level evaluation system.
The present paper deals with intellectual systems for patient’s level adherence determination and evaluation. The most popular novadays techniques for adherence evaluation is interview. We advise new automation approach – the system which compares direct pation data with treatment plan using fuzzy logic and standard ISO 13606. For this research data entered by users. Next step is sensor device including for thr purposes of patinet’s adherence determination. The results can be useful for healthcare providers with lind-term patients.
2019 № 4 Knowledge-based diagnostic system for orphan diseases development
The paper discusses the problems of early diagnosis of rare hereditary origin diseases in children, presents a brief description of previously created systems aimed at providing support for physician assistance in diagnosis. The prototype of an expert diagnostic system is presented, the knowledge which combines bibliographic data on clinical cases, the coefficients of modality of signs (based on expert evaluations) and certainty factors for manifestation and severity of signs over four age periods. Such an approach to the formation of a knowledge base allows improving the quality of differential diagnosis of a rare pathology at an early age in order to start treatment on time to prevent the development of pathological manifestations caused by the accumulation of macromolecules in organs and tissues.