首页> 外文期刊>Cybernetics and information technologies: CIT >Algorithm and Software System for Treatment Application of Platelet-Rich Plasma on Problematic Skin Wounds
【24h】

Algorithm and Software System for Treatment Application of Platelet-Rich Plasma on Problematic Skin Wounds

机译:富含血小板血浆治疗血小板上的算法及软件系统

获取原文
获取外文期刊封面目录资料

摘要

Recently a big interest arises to the automated diagnosis and digitalizationof clinical data. The purpose of this article is to present treatment algorithm andsoftware system for Problematic Skin Wounds (PSW) by using Platelet-Rich Plasma(PRP), based on the first study on platelet-rich plasma application carried out inBulgaria. PSW-PRP-Project software system was developed for entering andprocessing medical data during PRP treatment, visualization of general patientinformation, treatment trend, as well as a module for training specialists through thecreated database. For a period of seven years around 100 patients have beentreatment at the Department of Orthopaedics and Traumatology, UMBAL KANEVRuse AD, by applying platelet-rich plasma. The algorithm for the use of platelet-richplasma for treating problematic skin wounds allows for the proper and accuratetreatment of patients with various problematic skin wounds with the purpose ofsolving the therapeutic problem and their complete recovery. The procedure’s courseis determined based on assessment on three digital criteria TWS, TAS and TSWD.The algorithms are based on our results, obtained for the first in Bulgaria whiletreating problematic skin wounds by using platelet-rich plasma and successfullytreating 92.78% of patients to full recovery.
机译:最近,临床数据的自动诊断和数字化出现了大的兴趣。本文的目的是通过使用富含血小板的血浆(PRP)的血小板富含血浆应用的第一次研究来呈现有问题的皮肤伤口(PRP)的治疗算法和软件系统。 PSW-PRP-Project软件系统是开发用于在PRP处理期间进入和处理医疗数据,普通患者信息的可视化,治疗趋势,以及通过TheCreated数据库培训专家的模块。在七年左右的七年患者中,通过应用富含血小板的等离子体,umbal Kanevruse AD的骨科和创伤学系列。用于治疗有问题的皮肤伤口的血小板致富(血小板致血小板算法允许各种有问题的皮肤伤口患者的适当和精确物质,其目的是陈腐的治疗问题及其完全恢复。该程序的课程课程基于对三个数字标准TWS,TAS和TSWD的评估确定。算法基于我们的结果,通过使用富含血小板的血浆并成功成熟的患者恢复了92.78%的保加利亚的第一个有问题的皮肤伤口的结果。 。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号