文章基本信息

标题：Developing a method for prediction of relapsing myocardial infarction based on interpolation diagnostic polynomial
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作者：Sofia Yakubovska ; Olena Vуsotska ; Andrei Porvan 等
期刊名称：Eastern-European Journal of Enterprise Technologies
印刷版ISSN：1729-3774
电子版ISSN：1729-4061
出版年度：2016
卷号：5
期号：9
页码：41-49
DOI：10.15587/1729-4061.2016.81004
语种：English
出版社：PC Technology Center
摘要：In this paper, based on the estimations of expert opinions of the persons who make decisions, we determined a set of criteria for evaluation of the states of patients and of the classes of possible states for predicting the relapsing myocardial infarction. We propose a method for predicting the relapsing myocardial infarction on the basis of the designed interpolation diagnostic polynomial to determine the probability of occurence of the relapsing myocardial infarction. The developed method is based on the methodology of verbal decision analysis. This method makes it possible, taking into account the totality of attributes of disease, their combination and mutual effect, to increase the accuracy of prediction by 2,7 % (in comparison to the method-prototype). This provides a possibility to prevent the relapse of disease and sudden coronary death. The proposed method is of practical interest and may be applied for the diagnosis and prediction of development of other human cardiovascular system diseases.
关键词：method of prediction;relapsing myocardial infarction;ordinal classification of states;diagnostic interpolation diagnostic polynomial