Development of an automated diagnosis of complications after operation on mitral valve

dc.contributor.authorHerlyha, Ann
dc.date.accessioned2014-02-28T12:58:40Z
dc.date.available2014-02-28T12:58:40Z
dc.date.issued2013
dc.description.abstractThere is always a risk of postoperative complications after heart surgery. Doctors need carry out comprehensive analysis of many data in order to detect and to foresee this aftereffect. This analysis takes a lot of time and effort. Automated identification of postoperative complications in the patient's mitral valve was developed for avoiding this problem. Statistical models of post-operative complications of the patient were engineered based on discriminant analysis and logistic regression models with use cluster analysis. The results of calculations at this stage of the study showed a high diagnostic performance of logistic regression with clustering.uk_UA
dc.identifier.citationHerlyha A. Development of an automated diagnosis of complications after operation on mitral valve / Ann Herlyha // Комп'ютерні науки та інженерія : матеріали VІ Міжнародної конференції молодих вчених CSE-2013, 21–23 листопада 2013 року, Україна, Львів / Міністерство освіти і науки України, Національний університет "Львівська політехніка". – Львів : Видавництво Львівської політехніки, 2013. – С. 92-93. – (4-й Міжнародний молодіжний фестиваль науки "Litteris et Artibus"). – Bibliography: 4 titles.uk_UA
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/23760
dc.language.isoenuk_UA
dc.publisherВидавництво Львівської політехнікиuk_UA
dc.subjectheart surgeryuk_UA
dc.subjectmitral valveuk_UA
dc.subjectcluster analysisuk_UA
dc.subjectdiscriminant analysisuk_UA
dc.subjectlogistic regressionuk_UA
dc.titleDevelopment of an automated diagnosis of complications after operation on mitral valveuk_UA
dc.typeArticleuk_UA

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