Salvato in:
| Autori principali: | , |
|---|---|
| Natura: | Recurso digital |
| Lingua: | inglese |
| Pubblicazione: |
Zenodo
2025
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| Soggetti: | |
| Accesso online: | https://doi.org/10.5281/zenodo.15030404 |
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Sommario:
- <p><span>In the rapidly evolving field of medical diagnostics, integrating advanced mathematical models and security protocols is paramount for enhancing accuracy and protecting patient data. This paper presents a detailed analysis of Gaussian Neutrosophic Sets, a mathematical framework for handling uncertainty, Kurtosis which describes the shape of probability distributions especially the tails, and Gaussian Semantic Security ensuring data confidentiality in cryptographic applications within the context of medical diagnosis.<span> </span>Gaussian Neutrosophic Sets handle the inherent uncertainty and vagueness in medical data, providing a robust framework for more reliable diagnostic outcomes. By getting the result of the graphical representation is the same as the kurtosis diagram. So, using the kurtosis measure to calculate the filling, gum cleaning oral checkup and crown in medical diagnosis to identify the leptokurtic, mesokurtic, and platykurtic using <em>JASP </em>is a new statistical tool by combining these methodologies, to improve diagnostic precision while safeguarding sensitive medical information.</span></p>