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.
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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