Prediction of Cervical Cancer Patients’ Survival Period with Machine Learning Techniques
Intorn Chanudom,
Ekkasit Tharavichitkul,
Wimalin Laosiritaworn
Abstract:Objectives: The objective of this research is to apply machine learning (ML) algorithms to predict the survival of cervical cancer patients. The aim was to address the limitations of traditional statistical methods, which often fail to provide accurate answers due to the complexity of the problem.Methods: This research employed visualization techniques for initial data understanding. Subsequently, ML algorithms were used to develop both classification and regression models for survival prediction. In the class… Show more
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