Strategy of Artificial Intelligence Assisted Health Tourism in the Perspective of Global Region Based on Markov Chain Model

Abstract

Strategy of the artificial intelligence assisted health tourism in the perspective of global region based on the Markov chain model is studied in this paper. In the process of developing the core big data visualization platform of the scenic spots, the application of visualization technology can display the collected business data efficiently, concisely and clearly. To effectively then analyze the data, the paper has listed novelties. (1) The model assumes that the covariance matrix of factor variables is the identity matrix and that the transition probabilities are also sometimes homogeneous. (2) The Internet of things is roughly recognized as having three levels, the first layer, also the bottom layer, refers to the perception layer used to perceive. The core and comprehensive analysis are done for the efficient analysis.

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