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SLE 患者的小梁骨评分的逻辑熵和新型可视化。

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

机构信息

Department of Mathematics and Science Education, Faculty of Education, Adıyaman University, 02040 Adıyaman, Turkey.

出版信息

Comput Math Methods Med. 2022 Oct 27;2022:3292249. doi: 10.1155/2022/3292249. eCollection 2022.

Abstract

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.

摘要

在疾病的诊断和治疗过程中,医学图像和参考区间无疑非常重要。分别来自医疗设备和统计方法的图像和参考区间的清晰、易于解释,对于医生在诊断和治疗过程中非常重要。在本文中,针对系统性红斑狼疮疾病,我们将参考区间转换为模糊集,并计算出熵值,以找到系统性红斑狼疮疾病参考区间中包含的不确定性,以便医生可以使用熵值来观察患者的治疗情况。最后,借助熵函数,我们使用 Wolfram Mathematica 7.0 为一些小梁骨疾病生成了新型的医学图像。我们应该注意,这种用于骨密度的医学图像在医学中并不常见。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4060/9633208/3ce35362ce3b/CMMM2022-3292249.001.jpg

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