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dc.contributor.advisorTulus
dc.contributor.advisorBangun, Pengarapen
dc.contributor.authorZada, T. Muhammad Shah
dc.date.accessioned2022-12-23T01:32:04Z
dc.date.available2022-12-23T01:32:04Z
dc.date.issued2016
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/76923
dc.description.abstractMarkov 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.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectMarkov chainen_US
dc.subjectmedical decision makingen_US
dc.subjecthypertensionen_US
dc.subjectIndonesian populationen_US
dc.titleModel Markov untuk Pengambilan Keputusan Medisen_US
dc.typeThesisen_US
dc.identifier.nimNIM130823034
dc.identifier.nidnNIDN0001096202
dc.identifier.nidnNIDN0015085603
dc.identifier.kodeprodiKODEPRODI442013#Matematika
dc.description.pages42 Halamanen_US
dc.description.typeSkripsi Sarjanaen_US


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