Creating prediction models for cervical cancer forecasting
| dc.contributor.advisor | Kolde, Raivo, juhendaja | |
| dc.contributor.author | Jerina, Valerija | |
| dc.contributor.other | Tartu Ülikool. Matemaatika ja statistika instituut | et |
| dc.contributor.other | Tartu Ülikool. Loodus- ja täppisteaduste valdkond | et |
| dc.date.accessioned | 2022-06-20T11:13:13Z | |
| dc.date.available | 2022-06-20T11:13:13Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | The 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.identifier.uri | http://hdl.handle.net/10062/82704 | |
| dc.language.iso | eng | et |
| dc.rights | openAccess | et |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject | logistiline regressioon | et |
| dc.subject | logistic regression | en |
| dc.subject | masinõpe | et |
| dc.subject | machine learning | en |
| dc.subject | riskimudel | et |
| dc.subject | risk model | en |
| dc.subject | ennustamismudel | et |
| dc.subject | prediction model | en |
| dc.title | Creating prediction models for cervical cancer forecasting | en |
| dc.type | info:eu-repo/semantics/bachelorThesis | et |