A Continuous-Time Markov Chain Model-Based Business Analytics Approach for Estimating Patient Transition States in Online Health Infomediary.
Sanghee LimDobin YimJiban KhuntiaMohan TanniruPublished in: Decis. Sci. (2020)
Keyphrases
- markov chain
- state transition
- transition probabilities
- transition matrix
- business analytics
- steady state
- finite state
- state space
- monte carlo
- markov processes
- random walk
- markov process
- stationary distribution
- online learning
- monte carlo simulation
- monte carlo method
- health care
- markov model
- business intelligence
- machine learning
- databases
- information technology
- reinforcement learning
- healthcare delivery
- business strategy