Development of an information site for the Shevchenko Scientific Society

dc.contributor.affiliationНаціональний університет «Львівська політехніка»
dc.contributor.authorAdjei , Francis Sowah
dc.coverage.placenameЛьвів
dc.date.accessioned2024-04-25T09:18:03Z
dc.date.available2024-04-25T09:18:03Z
dc.date.issued2022
dc.date.submitted2024
dc.description.abstractDegree work executed by the student of group CS(КН)-416f Francis Sowah Adjei. The topic is « Application of Data Mining Methods in Prediction of Covid-19 ICU Cases ». Work is directed on reception to obtain a bachelor’s degree on a specialty 122 «Computer Science». The purpose of the degree work is to analyse a number of predictive models in data mining and select which is best for predicting which patient will need intensive care. The object of research is to have a quick predictive model to determine who going to need intensive care. As a result of the thesis, a predictive model was chosen with the highest accuracy.
dc.format.pages29
dc.identifier.citationAdjei F. S. Development of an information site for the Shevchenko Scientific Society : explanatory note to the bachelor's level qualification thesis : 122 «Computer Science» / Adjei Francis Sowah ; Lviv Polytechnic National University. – Lviv, 2022. – 29 p.
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/61895
dc.language.isoen
dc.publisherНаціональний університет «Львівська політехніка»
dc.subjectpredictive model, data set, data mining, ICU (intensive care unit), accuracy
dc.titleDevelopment of an information site for the Shevchenko Scientific Society
dc.typeStudents_diploma

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