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.
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