AN Advanced Medical Tourism System in India Using Deep Learning Algorithms
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-69197-3_32
Reference17 articles.
1. Guru, S., Sinha, A., Kautish, P.: Determinants of medical tourism: application of fuzzy analytical hierarchical process. Int. J. Emerging Markets (2022)
2. Malhotra, N., Dave, K.: An assessment of competitiveness of medical tourism industry in India: a case of Delhi NCR. Int. J. Glob. Bus. Competitiveness 17(2), 215–228 (2022)
3. Campra, M., Riva, P., Oricchio, G., Brescia, V.: Bibliometrix analysis of medical tourism. Health Serv. Manage. Res. 35(3), 172–188 (2022)
4. Riaz, M., Pamucar, D., Habib, A., Jamil, N.: Innovative bipolar fuzzy sine trigonometric aggregation operators and SIR method for medical tourism supply chain. Math. Prob. Eng. (2022)
5. Majeed, S., Kim, W. G., Ryu, K.: Medical tourism and cognitive dissonance: exploring tourist choice behavior, post-choice pre-outcome regret, and visit intention. J. Qual. Assur. Hospitality Tourism, 1–31 (2022)
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