Heart failure is one of the significant public health burdens in the world. According to WHO, 2 million people suer heart failure worldwide. In this study, we propose a bivariate stochastic model for heart failure disease progression and recovery process, which helps to understan...
Open access
Research Article10.9734/ajpas/2022/v19i130461
Disease progression studies through stochastic modeling are the most effective approaches as different processes involved in the disease acquisition, growth, spread, and control are random. This study develops a stochastic model for studying the disease spread using Markov Proces...
Open access
Research Article10.9734/arjom/2022/v18i730387
The HMM is generally applied to forecast the hidden system of observation data. In this paper, we deal with the development of HMM for a proper understanding of finance variables in the stock market. Formulation of relationships between and within both the changing share values o...
Open access
Research Article10.9734/ajpas/2022/v18i130436