Managing infectious and inflammatory complications in closed kidney injuries on the basis of fuzzy models

Q3 Medicine
Nikolay Korenevskiy, Seregin Stanislav Petrovich, Riad Taha Al Kasasbeh, Ayman Ahmad Alqaralleh, Gennadij Vjacheslavovich Siplivyj, Mahdi Salman Alshamasin, Sofia Nikolaevna Rodionova, Ivan Mikhailovich Kholimenko, Maxim Yurievich Ilyash
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引用次数: 3

Abstract

The aim of this work is to reduce the time and cost of forecasting, preventing and treating patients with infectious complications with kidney injuries. The study is based on the results of a retrospective analysis of the medical records of 123 patients with various forms of kidney injury. Using the methods of analysis, it was shown that in order to achieve acceptable for practice quality prediction of possible infectious and inflammatory complications, the level of psycho-emotional stress and energy of biologically active points 'connected' to the kidneys is used as additional prognostic signs, with the confidence in the correct prediction increasing to 0.93.
基于模糊模型的闭合性肾损伤感染及炎症并发症处理
这项工作的目的是减少预测、预防和治疗肾损伤患者的感染性并发症的时间和成本。这项研究是基于对123名不同形式肾损伤患者的医疗记录进行回顾性分析的结果。使用分析方法,结果表明,为了实现可接受的实践质量预测可能的感染和炎症并发症,心理情绪压力水平和与肾脏“连接”的生物活性点的能量被用作额外的预后迹象,正确预测的置信度增加到0.93。
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来源期刊
CiteScore
2.20
自引率
0.00%
发文量
110
期刊介绍: IJMEI promotes an understanding of the structural/functional aspects of disease mechanisms and the application of technology towards the treatment/management of such diseases. It seeks to promote interdisciplinary collaboration between those interested in the theoretical and clinical aspects of medicine and to foster the application of computers and mathematics to problems arising from medical sciences. IJMEI includes authoritative review papers, the reporting of original research, and evaluation reports of new/existing techniques and devices. Each issue also contains a comprehensive information service. Topics covered include Hospital information/medical record systems, data protection/privacy Disease modelling/analysis, evidence-based clinical modelling/studies Computer-based patient/disease management systems Clinical trials/studies, outcome-based studies/analysis Electronic patient monitoring systems Nanotechnology in medicine, medical applications Tissue engineering, artificial organs, biomaterials design Healthcare standards, service standardisation Controlled medical terminology/vocabularies Nursing informatics, systems integration Healthcare/hospital management, economics Medical technology, intelligent instrumentation, telemedicine Medical/molecular imaging, disease management Bioinformatics, human genome studies/analysis Drug design.
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