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Logistic Entropy of Trabecular Bone Score in SLE Patients and New Type Visualizations

The medical images and reference intervals, in the diagnosis and treatment process of diseases, are undoubtedly very important. Clear and easy interpretation of images and reference intervals derived from medical devices and statistical methods, respectively, are of great importance for doctors in t...

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Detalles Bibliográficos
Autor principal: Kılınç, Gülsen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9633208/
https://www.ncbi.nlm.nih.gov/pubmed/36339685
http://dx.doi.org/10.1155/2022/3292249
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author Kılınç, Gülsen
author_facet Kılınç, Gülsen
author_sort Kılınç, Gülsen
collection PubMed
description The medical images and reference intervals, in the diagnosis and treatment process of diseases, are undoubtedly very important. Clear and easy interpretation of images and reference intervals derived from medical devices and statistical methods, respectively, are of great importance for doctors in the diagnosis and treatment process. In this article, for systemic lupus erythematosus disease, we have transformed the reference intervals into fuzzy sets and calculated the entropy values to find the uncertainty contained in the reference interval of systemic lupus erythematosus disease, so the doctors can keep in view patient treatment using entropy values. Finally, for better observations of patients, with the help of the entropy functions, new types of medical images were given for some trabecular bone diseases using Wolfram Mathematica 7.0. We should note that this type of medical images for bone mineral density is not in medicine.
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spelling pubmed-96332082022-11-04 Logistic Entropy of Trabecular Bone Score in SLE Patients and New Type Visualizations Kılınç, Gülsen Comput Math Methods Med Research Article The medical images and reference intervals, in the diagnosis and treatment process of diseases, are undoubtedly very important. Clear and easy interpretation of images and reference intervals derived from medical devices and statistical methods, respectively, are of great importance for doctors in the diagnosis and treatment process. In this article, for systemic lupus erythematosus disease, we have transformed the reference intervals into fuzzy sets and calculated the entropy values to find the uncertainty contained in the reference interval of systemic lupus erythematosus disease, so the doctors can keep in view patient treatment using entropy values. Finally, for better observations of patients, with the help of the entropy functions, new types of medical images were given for some trabecular bone diseases using Wolfram Mathematica 7.0. We should note that this type of medical images for bone mineral density is not in medicine. Hindawi 2022-10-27 /pmc/articles/PMC9633208/ /pubmed/36339685 http://dx.doi.org/10.1155/2022/3292249 Text en Copyright © 2022 Gülsen Kılınç. https://creativecommons.org/licenses/by/4.0/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.
spellingShingle Research Article
Kılınç, Gülsen
Logistic Entropy of Trabecular Bone Score in SLE Patients and New Type Visualizations
title Logistic Entropy of Trabecular Bone Score in SLE Patients and New Type Visualizations
title_full Logistic Entropy of Trabecular Bone Score in SLE Patients and New Type Visualizations
title_fullStr Logistic Entropy of Trabecular Bone Score in SLE Patients and New Type Visualizations
title_full_unstemmed Logistic Entropy of Trabecular Bone Score in SLE Patients and New Type Visualizations
title_short Logistic Entropy of Trabecular Bone Score in SLE Patients and New Type Visualizations
title_sort logistic entropy of trabecular bone score in sle patients and new type visualizations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9633208/
https://www.ncbi.nlm.nih.gov/pubmed/36339685
http://dx.doi.org/10.1155/2022/3292249
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