An Assessment of Data Guidelines in Cryopreservation Laboratories

Ana Fernandes, Margarida Figueiredo, J. Neves, H. Vicente
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Abstract

On May 25, 2018, the General Data Protection Regulation (GDPR) entered into force in the European Union, which is of the utmost importance for monitoring its accomplishment by all organizations, especially those working in the health sector. However, it turns into a very difficult task, i.e., in order to meet this challenge, a practicable problem-solving methodology had to be developed and tested, that lead to a soft approach to computing using Artificial Neural Networks. On the other hand, the method chosen for data collection was the inquiry by questionnaire, in which 156 employees participated. The proposed system has an accuracy of about 90%, which can diagnose the fragility of the laboratory and encourage future improvements to ensure a high level of data protection.
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低温保存实验室数据指南评估
2018年5月25日,《通用数据保护条例》(GDPR)在欧盟生效,这对于监测所有组织,特别是卫生部门工作人员的执行情况至关重要。然而,它变成了一个非常困难的任务,也就是说,为了迎接这一挑战,必须开发和测试一种切实可行的解决问题的方法,从而导致使用人工神经网络进行计算的软方法。另一方面,数据收集的方法是问卷调查,共有156名员工参与。该系统的准确率约为90%,可以诊断实验室的脆弱性,并鼓励未来的改进,以确保高水平的数据保护。
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