Comparitive Analysis of Anfis and Frbf- Survival Time Prediction of Lung Cancer Patient

Abstract: Lung cancer also known as carcinoma of the lung or pulmonary carcinoma is a malignant lung tumor characterized by uncontrolled cell growth in tissues of the lung. Lung cancer is the leading cancer killer in both men and women. The five-year survival rate for lung cancer is 53.5 % for cases detected when the disease is still localized (within the lungs). However, only 15 % of lung cancer cases are diagnosed at an early stage. Over half of people with lung cancer die within one year of being diagnosed. This proposes a new model for prediction of complications developing due to survival time of lung cancer patients. This system compares the performance of various neuro fuzzy techniques such as ANFIS and FRBF.

Keywords: neuro fuzzy techniques, ANFIS, FRBF.