Breast cancer is the most common type of cancer in women and ranks first in the world. Every year, more than one million new cases are diagnosed worldwide, which represents 30% of new cases of female cancer in industrialized countries and around 14% in developing countries.

The objective of our study was to detail an absorbing Markov chain model to study the evolution of breast cancer disease. We applied the results and the properties of the absorbing Markov chain that we accomplished in our last article, we consider a transition matrix estimated by the data of 780 patient, and then we created an algorithm to calculate the average expected duration to stay in each state and the probability of absorption using Matlab software.

Citation details of the article

Journal: International Journal of Applied Mathematics
Journal ISSN (Print): ISSN 1311-1728
Journal ISSN (Electronic): ISSN 1314-8060
Volume: 31
Issue: 1
Year: 2018

DOI: 10.12732/ijam.v31i1.3

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