Development of an information site for the Shevchenko Scientific Society
dc.contributor.affiliation | Національний університет «Львівська політехніка» | |
dc.contributor.author | Adjei , Francis Sowah | |
dc.coverage.placename | Львів | |
dc.date.accessioned | 2024-04-25T09:18:03Z | |
dc.date.available | 2024-04-25T09:18:03Z | |
dc.date.issued | 2022 | |
dc.date.submitted | 2024 | |
dc.description.abstract | Degree 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.pages | 29 | |
dc.identifier.citation | Adjei 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.uri | https://ena.lpnu.ua/handle/ntb/61895 | |
dc.language.iso | en | |
dc.publisher | Національний університет «Львівська політехніка» | |
dc.subject | predictive model, data set, data mining, ICU (intensive care unit), accuracy | |
dc.title | Development of an information site for the Shevchenko Scientific Society | |
dc.type | Students_diploma |
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