Version 1
: Received: 17 October 2023 / Approved: 18 October 2023 / Online: 19 October 2023 (03:52:17 CEST)
How to cite:
El Safty, M.A.; El Sayed, M.; Al-Qahtani, H.F.; Elamir, E.E.; Al Qarni, A. Topological Approach with Decision Making Based on Nano Beta Closure, Nano Beta Interior and its Application with Fractals in Medical Fields. Preprints2023, 2023101184. https://doi.org/10.20944/preprints202310.1184.v1
El Safty, M.A.; El Sayed, M.; Al-Qahtani, H.F.; Elamir, E.E.; Al Qarni, A. Topological Approach with Decision Making Based on Nano Beta Closure, Nano Beta Interior and its Application with Fractals in Medical Fields. Preprints 2023, 2023101184. https://doi.org/10.20944/preprints202310.1184.v1
El Safty, M.A.; El Sayed, M.; Al-Qahtani, H.F.; Elamir, E.E.; Al Qarni, A. Topological Approach with Decision Making Based on Nano Beta Closure, Nano Beta Interior and its Application with Fractals in Medical Fields. Preprints2023, 2023101184. https://doi.org/10.20944/preprints202310.1184.v1
APA Style
El Safty, M.A., El Sayed, M., Al-Qahtani, H.F., Elamir, E.E., & Al Qarni, A. (2023). Topological Approach with Decision Making Based on Nano Beta Closure, Nano Beta Interior and its Application with Fractals in Medical Fields. Preprints. https://doi.org/10.20944/preprints202310.1184.v1
Chicago/Turabian Style
El Safty, M.A., Elhadi E. Elamir and A Al Qarni. 2023 "Topological Approach with Decision Making Based on Nano Beta Closure, Nano Beta Interior and its Application with Fractals in Medical Fields" Preprints. https://doi.org/10.20944/preprints202310.1184.v1
Abstract
In this paper we introduce the concept of Nano Beta Closure, Nano Beta Interior and study the relationship between them also study some of their properties. Based on these notions we introduced the topological Approach to Decision Making and Its Application in the Medical Field" which describes the use of topological methods in decision-making, specifically through the utilization of nano beta closure and nano beta interior. These mathematical tools are applied in the medical field to improve diagnostic accuracy and aid in treatment planning. The authors demonstrate the effectiveness of this approach through a case study on the diagnosis of Chronic Kidney. The results show that the topological approach using nano beta closure and nano beta interior provides a reliable and accurate method for medical decision-making. Finally, we introduce a medical application for disease groups patients of with chronic kidney. To identify the main causative agent of kidney disease. where using this approach, the medical team can identify the specific areas of the kidney that are affected by the infection, as well as the extent of damage and any potential complications. This information is used to create an individualized treatment strategy that is customized to meet the specific requirements of the patient. and medical history. We write an algorithm that can be a helpful tool for doctors to utilize in diagnosing infection disease Chronic Kidney infections. By utilizing this approach, clinicians can provide accurate diagnoses, develop effective treatment plans, and ultimately improve patient outcomes. finally, we show that fractals hold significant importance in future nano topological generation of the human factor. Their unique properties and self-similar patterns offer insights into the complex organization of biological systems and provide a foundation for designing advanced Nanosystems.
Keywords
Medical diagnosis; rough sets; Nano Beta-topological space; Decision-making; Accuracy
Subject
Computer Science and Mathematics, Geometry and Topology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
