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      Economic Benefit Analysis of Medical Tourism Industry Based on Markov Model

      1 , 2 , 3
      Journal of Mathematics
      Hindawi Limited

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          Abstract

          To study the impact of the medical Tourism Industry on regional economic performance, a Markov prediction method was proposed. An improved Markov chain combination forecasting method was established by analyzing the economy of healthcare tourism industry through Markov chain forecasting method and various processing methods for economic results of different years. The research results show that healthcare tourism industry service is a new and highly potential tourism product service. It can generate significant economic and social benefits. The value and market size of healthcare tourism industry is analyzed and studied by using Markov model to explore the complementary roles of Medical and Tourism, which helps to predict the development of market size and benefits. The model results are also analyzed and calculated. The benefits and scale of the development of the healthcare tourism industry are evaluated by combining the actual data situation and development conditions in each year.

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          The medical tourism index: Scale development and validation

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            Dynamic Fault Prediction of Power Transformers Based on Hidden Markov Model of Dissolved Gases Analysis

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              Application of best-worst method in evaluation of medical tourism development strategy

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                Author and article information

                Contributors
                Journal
                Journal of Mathematics
                Journal of Mathematics
                Hindawi Limited
                2314-4785
                2314-4629
                March 14 2022
                March 14 2022
                : 2022
                : 1-9
                Affiliations
                [1 ]College of Government Management, Inner Mongolia Normal University, Hohhot 010022, China
                [2 ]College of Tourism, Inner Mongolia Normal University, Hohhot 010022, China
                [3 ]College of Science, Inner Mongolia University of Science and Technology, Baotou 014010, China
                Article
                10.1155/2022/6401796
                a8dcf63d-05af-4fbf-9e8d-8e202c003cc8
                © 2022

                https://creativecommons.org/licenses/by/4.0/

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