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Medical big data access control model based on UPHFPR and evolutionary game
This paper discusses how to improve the accuracy of doctors' diagnosis and how to protect the security of patients' information. First, UPHFPR (Uncertain Probability Hesitant Fuzzy Preference Relationship) is applied to select more accurate target for doctors. The framework involved an inf...
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| Huvudupphovsmän: | , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Elsevier
2022-12-01
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| Serie: | Alexandria Engineering Journal |
| Ämnen: | |
| Länkar: | http://www.sciencedirect.com/science/article/pii/S1110016822002502 |
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