Supervised Algorithms of Machine Learning in the Prediction of Cervical Cancer: A Comparative Analysis

Abstract

As reported by World Health Organization (WHO), among women Cancer of Cervix is ranked as fourth predominant type of cancer producing 7.9% of female cancers. The symptom-less nature of the disease is the major challenge for the researchers and lack of early effective diagnosis is the basic reason for the of the disease. Machine learning a subgroup of artificial intelligence has been helpful in many medical diagnoses that let on the machine to gather intelligence from existing data and practice them to draw insights from the large amounts of data. The survey paper incorporates various techniques of machine learning that are suited for predicting cervical cancer.