Survival Analysis of a Model on Lung Cancer Progression Considering Symptomatic and Non-symptomatic Cases

Lung cancer is the most common type of cancer. According to World Health organization, number of deaths from lung cancers in 2020 was nearly 10 million. About 80 to 85% people suffers from non-small cell lung cancer. In the present paper, a Markov model for non-small cell lung cancer progression in human considering symptomatic and non-symptomatic cases has been developed. Mean sojourn time and mean survival time have been calculated using concepts of Markov process and regenerative point technique. Graphical and sensitivity analyses have been done to study the impact of different parameters on lung cancer survivability and to judge the parameters that improve the survival time of lung cancer patients.