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dc.contributor.advisorKolde, Raivo, juhendaja
dc.contributor.authorJerina, Valerija
dc.contributor.otherTartu Ülikool. Matemaatika ja statistika instituutet
dc.contributor.otherTartu Ülikool. Loodus- ja täppisteaduste valdkondet
dc.date.accessioned2022-06-20T11:13:13Z
dc.date.available2022-06-20T11:13:13Z
dc.date.issued2022
dc.identifier.urihttp://hdl.handle.net/10062/82704
dc.description.abstractThe aim of this bachelor’s thesis is to create prediction models for cervical cancer (ICD-10 C53) and pre-cancerous condition (ICD-10 R87.613) forecasting. The analysis is based on health data of 10% of Estonian population that was provided by STACC OÜ. The thesis gives an overview on cervical cancer, shows which prediction models were created using different machine learning algorithms, evaluates their performance, and gives an overview on factors that might affect risk of getting the diseases.en
dc.language.isoenget
dc.rightsopenAccesset
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectlogistiline regressioonet
dc.subjectlogistic regressionen
dc.subjectmasinõpeet
dc.subjectmachine learningen
dc.subjectriskimudelet
dc.subjectrisk modelen
dc.subjectennustamismudelet
dc.subjectprediction modelen
dc.titleCreating prediction models for cervical cancer forecastingen
dc.typeinfo:eu-repo/semantics/bachelorThesiset


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