Open AccessEvaluation of the effectiveness of using artificial intelligence to predict the response of the human body to cardiovascular diseases
Author(s) -
С. Е. Головенкин,
Mikhail Dorrer,
S. Yu. Nikulina,
Yu. V. Orlova,
E Yu Pelipeckaya
Publication year - 2020
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 - 10.1088/1742-6596/1679/4/042017
Subject(s) - medical diagnosis , computer science , myocardial infarction , disease , machine learning , quality (philosophy) , artificial intelligence , voting , medicine , pathology , philosophy , epistemology , politics , political science , law
This article discusses the issue of assessing the quality of predicting the dynamics of the human body in conditions of cardiovascular disease using intelligent software systems. To improve the forecast accuracy, the voting method of 3 competing systems was used, as well as the elimination of sparse data columns. Assessment of the quality of the prognosis of complications of cardiovascular diseases is carried out in terms of the accuracy and specificity of the diagnosis. The constructed system for 10 predicted diagnoses out of 12 showed a prediction accuracy of more than 90% with a specificity of more than 85%. This result shows a fairly high predictive ability of the created system when solving the problem of predicting the reaction of the human body to the onset of cardiovascular diseases (for example, complications of myocardial infarction).