Statistical Methods in the Oncology Analysis and Prediction

Student: Vlasovets Oleg

Educational Programme: Business Informatics (Master)

Year of Graduation: 2020

This master thesis presents a statistical analysis of the data of patients with diagnosis of breast cancer. A comparative analysis of existing methods for predicting breast cancer was performed. The result of this work was a logistic regression model capable of accurately predicting the stage of the disease. Also, a tool for data visualization was developed, which reflects the key medical indicators of the patient found during the statistical analysis.

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