PREDICTIVE ANALYTICS FOR BREAST CANCER SUSCEPTIBILITY AND PROGNOSIS

A good healthcare system is important to progression or growth of a country.
Healthcare has proven to be a large influencing factor towards the economy of a
country. Only if the citizen of a country is healthy then a certain productivity rate can
be achieved. This is because there will be less financial burden and much reliable
workforce. In today’s modern world with technological advancement, healthcare
industry has essentially become one of the most important sectors in most developing
countries. Management system in healthcare industry also need to adapt with the
technology that are available in the market. Many healthcare sectors are still lagging
in terms of merging the use of technology into improving their services. What if there
is a way to predict the future outcome in terms of illness risk that is most likely to
occur. It would make life easier for caregivers to prepare upfront to provide the best
service to the health patients. Ergo, the development of a prediction model using
machine learning is made to classify and predict the breast cancer susceptibility to
provide better prognosis and determine the risk based on the tumor condition.