A Forecasting System for Lung Cancer Sensitivities Using SNP Data

SNP(Single Nucleotide Polymorphism) refers to the difference in a base pair existed in DNAs of individuals. Each of it appears per 1,000 bases in human genome and it enables each gene to defer in junctions, interacts with each other to make different shapes of humans, and produces different disease sensitivities. In this paper, we propose a system to forecast lung cancer sensitivities using SNP data related with the lung cancer. A lung cancer sensitivity forecasting model is also constructed through analysis of genetic and non-genetic factors for squamous cell carcinomas, adeno carcinomas, and small cell carcinomas that may frequently appear in Korean. The proposed system with the model gives the probabilities of the onset of lung cancers in the experimental subjects.