Breast Cancer Risk Assessment Tool

Abstract

Breast cancer is well known as one of the cancer that threatens woman. This disease threatens women, regardless race, ethnicity and demographics. Thus, in order to predict the risk of a woman being diagnosed with breast cancer, an individual risk assessment is developed. This is because early detection can help reduce the development of breast cancer. To date, few mathematical models have been proposed and developed for estimating the risk. The statistical model used is known as the Gail model where it provides the estimation of risk development of breast cancer over specific interval and period of time. The estimation mainly uses the women’s demographic information as well as the risk factors as parameters. This model is suitable for woman, which is not suspected of having hereditary breast cancer. Original Gail model considering six attributes including age, age at first menstrual period, age at the time of the birth of first child, number of first-degree relatives that have breast cancer, breast biopsies and race/ethnicity. Using statistical modelling, the individual risk is calculated in terms of probabilities based on both the relative risk and the baseline hazard rate. In this project, the original risk factors are modified depending on the Malaysian demographic information to cater for Malaysia women population.

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