شماره ركورد كنفرانس :
5470
عنوان مقاله :
Machine learning methods to predict the deaths of people experiencing shocks
پديدآورندگان :
Arabbeik A atieh.arabbeik@ut.ac.ir Department of Mathematics, Statistics and Computer Science, University of Tehran, Iran , Haghighi F fhaghighi@ut.ac.ir Department of Mathematics, Statistics and Computer Science, University of Tehran, Iran , Safari A a.safari@ut.ac.ir Department of Mathematics, Statistics and Computer Science, University of Tehran, Iran
كليدواژه :
Mortality rate , Shock , Stochastic process , Reliability , Machine learning
عنوان كنفرانس :
نهمين سمينار تخصصي نظريه قابليت اعتماد و كاربردهاي آن
چكيده فارسي :
One of the factors that is influential in mortality rates and can change this rate, is shock which people can experience in their lives. With consideration of a stochastic process, non-homogeneous poisson process, some of these mortality rates with shocks have defined and we aim to use these processes and their information and reliability to predict the number of people who are influenced by this process with a specific rate, at a special age; So we use some of machine learning methods for our purpose and find the best one of them.
