基于模糊逻辑和不确定因素的云计算医学诊断

V. Aswin, S. Deepak
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引用次数: 7

摘要

云计算是一种非常有效和增强的工具,这使我们想到它可以应用于医疗领域,使其对社会有用。糖尿病的诊断可以通过追踪其症状和模糊化经典症状水平来证明是有用的。应用组合推理规则得出疾病发生概率的结论。它使人们有机会在健康并发症发生之前就意识到糖尿病的控制。在全球范围内,每位患者都有自己独特的症状,这些症状由本地主机通过云计算维护和检索。将数学症状————疾病诊断与云计算相结合,产生的结果对这个神圣领域的医生和医学研究人员非常有用,可以从对数据库的分析中得出挽救生命的结论。基于软件的疾病症状分析根据加密标准进行,使其更加安全,避免隐私问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Medical Diagnostics Using Cloud Computing with Fuzzy Logic and Uncertainty Factors
Cloud computing being a very effective and enhanced tool puts us to the notion that it can be applied in medical domain to make it useful for the society. Diagnosis of Diabetes can be proven useful by tracking down its symptoms and fuzzification of the classic symptom levels. Compositional rules of inferences are applied to make conclusions about probability of occurrence of the disease. It leads to the chances of getting awareness about diabetes control before health complications. Across the globe every patient has his own unique symptoms which are maintained and retrieved by local hosts via cloud computing. Embedding the mathematical symptom -- disease diagnosis blended with cloud computing leads to results that can be very useful for physicians and medical researchers in the sacrosanct field to make life saving conclusions from the analysis of the database. The software based analysis of symptoms with diseases is carried out according to Encryption Standards to make it more secure avoiding privacy issues.
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