Kolde, Raivo, juhendajaJerina, ValerijaTartu Ülikool. Matemaatika ja statistika instituutTartu Ülikool. Loodus- ja täppisteaduste valdkond2022-06-202022-06-202022http://hdl.handle.net/10062/82704The 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.engopenAccessAttribution-NonCommercial-NoDerivatives 4.0 Internationallogistiline regressioonlogistic regressionmasinõpemachine learningriskimudelrisk modelennustamismudelprediction modelinfo:eu-repo/semantics/bachelorThesis