An Assessment of Data Guidelines in Cryopreservation Laboratories

dc.contributor.authorFernandes, Ana
dc.contributor.authorFigueiredo, Margarida
dc.contributor.authorNeves, José
dc.contributor.authorVicente, Henrique
dc.date.accessioned2021-10-13T13:59:12Z
dc.date.available2021-10-13T13:59:12Z
dc.date.issued2021
dc.description.abstractOn 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.por
dc.identifier.authoremailanavilafernandes@gmail.com
dc.identifier.authoremailmtf@uevora.pt
dc.identifier.authoremailjneves@di.uminho.pt
dc.identifier.authoremailhvicente@uevora.pt
dc.identifier.citationFernandes, A., Figueiredo, M., Neves, J. & Vicente, H., An Assessment of Data Guidelines in Cryopreservation Laboratories. In Proceedings of the 2021 International Symposium on Electrical, Electronics and Information Engineering (ISEEIE 2021), pp. 594–598, Association for Computing Machinery, New York, United States of America, 2021.por
dc.identifier.doi10.1145/3459104.345920por
dc.identifier.isbn978-1-4503-8983-9
dc.identifier.sharewithLAQV/REQUIMTE; CIEPpor
dc.identifier.urihttps://dl.acm.org/doi/10.1145/3459104.3459200
dc.identifier.urihttp://hdl.handle.net/10174/30257
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherACM - Association for Computing Machinerypor
dc.rightsopenAccesspor
dc.subjectArtificial Neural Networkspor
dc.subjectCryopreservation Laboratoriespor
dc.subjectData Protectionpor
dc.subjectGeneral Data Protection Regulationpor
dc.subjectPrivacy and Securitypor
dc.titleAn Assessment of Data Guidelines in Cryopreservation Laboratoriespor
dc.typearticlepor

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
2021_CPSIOT_ISEEIE_2020_RD.pdf
Size:
516.85 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
3.89 KB
Format:
Item-specific license agreed upon to submission
Description: