Open AccessDevelopment of diagnosis model based on intersecting fuzzy sets method
Author(s) -
E. N. Korovin,
E A Nazarenko,
Екатерина Ивановна Новикова,
M.A. Sergeeva,
Екатерина Валерьевна Кондаурова
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2060/1/012003
Subject(s) - intersection (aeronautics) , field (mathematics) , fuzzy logic , sample (material) , computer science , data mining , process (computing) , software , fuzzy set , artificial intelligence , machine learning , mathematics , engineering , chemistry , chromatography , pure mathematics , programming language , aerospace engineering , operating system
The article discusses one of the approaches to the analysis and decision-making on the patients with thyroid diseases diagnosis, based on a multi-criteria method - the method of fuzzy alternatives sets. The paper provides a theoretical analysis of the situation in the world in the field of endocrine diseases and the rationale for the method choice. The advantage of using the fuzzy sets intersection method in the field of medicine is shown. A visual calculation of the case with the input data of the patient was carried out and the diagnosis was derived. Calculations were carried out in the same way with a test sample of patients. Based on the results, high predictive abilities were obtained for using the model. Mathematical models were derived, which can later be implemented in information and software that increases the efficiency of the myocardial infarction complications predicting process. The implementation of the developed system will allow medical organizations to increase the efficiency and accuracy of patients’ preliminary diagnostics.