Anonymization of electronic medical records to support clinical analysis
Anonymization of Electronic Medical Records to Support Clinical Analysis closely examines the privacy threats that may arise from medical data sharing, and surveys the state-of-the-art methods developed to safeguard data against these threats. To motivate the need for computational methods, the book...
Enregistré dans:
| Auteurs principaux: | , |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
New York, NY :
Springer New York
2013.
Cham : Springer Nature |
| Serier: | SpringerBriefs in Electrical and Computer Engineering
|
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Anonymization of Electronic Medical Records to Support Clinical Analysis, Texte imprimé, 9781461456674 • Anonymization of Electronic Medical Records to Support Clinical Analysis, Texte imprimé, 9781461456698 |
Indholdsfortegnelse:
- Introduction
- Overview of patient data anonymization
- Re-identification of clinical data through diagnosis information
- Preventing re-identification while supporting GWAS
- Case study on electronic medical records data
- Conclusions and open research challenges
- Index.