Model Markov untuk Pengambilan Keputusan Medis

Abstract

Markov model method is a method that has been widely known in stochastic models. In this research, one of Markov models, which is Markov chain, is used for medical decision making, especially hypertension in Indonesian people. Data in this research are total population, hypertension patients, and death rate of Indonesian people. Markov chain analysis is used to inform the probability of hypertension. The result of Markov chain analysis shows that: probability of healthy people who stay healthy is 0,7613; probability of healthy who will suffer from hypertension is 0,2383; probability of healthy people who will die is 0,0004; probability of hypertension patients who survive is 0,9971; probability of hypertension patients who will die is 0,0029. Decision making is used to provide solution in order to more easily preventable disease hypertension. In this case, medical decision taken is to make a priority. That priority is to list the factors that cause hypertension, starting from the most difficult to be prevented to the most easily preventable.