Randomizing the parameters of a Markov chain to model the stroke disease: A technical generalization of established computational methodologies towards improving real applications

作者：

Highlights：

• A randomization of a Markov model for study the stroke is proposed.

• Random Variable Transformation method gives a probabilistic solution of the model.

• First probability density of the solution to randomized Markov model is determined.

• Time until a certain proportion of susceptibles remains in the population is given.

• Key quantities in medical decision making are determined.

摘要

•A randomization of a Markov model for study the stroke is proposed.•Random Variable Transformation method gives a probabilistic solution of the model.•First probability density of the solution to randomized Markov model is determined.•Time until a certain proportion of susceptibles remains in the population is given.•Key quantities in medical decision making are determined.

论文关键词：Markov process,Disease modelling,Random variable transformation technique,Computing the first probability density function

论文评审过程：Received 31 October 2016, Revised 4 March 2017, Available online 29 April 2017, Version of Record 15 May 2017.

论文官网地址：https://doi.org/10.1016/j.cam.2017.04.040