Creating prediction models for cervical cancer forecasting
Date
2022
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
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.
Description
Keywords
logistiline regressioon, logistic regression, masinõpe, machine learning, riskimudel, risk model, ennustamismudel, prediction model