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Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Rese...

Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Rese...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b49d10bc3edf410f917370bad5cddf09

Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review

About this item

Full title

Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review

Publisher

Canada: Gunther Eysenbach MD MPH, Associate Professor

Journal title

Journal of medical Internet research, 2023-03, Vol.25 (1), p.e41588-e41588

Language

English

Formats

Publication information

Publisher

Canada: Gunther Eysenbach MD MPH, Associate Professor

More information

Scope and Contents

Contents

The collection, storage, and analysis of large data sets are relevant in many sectors. Especially in the medical field, the processing of patient data promises great progress in personalized health care. However, it is strictly regulated, such as by the General Data Protection Regulation (GDPR). These regulations mandate strict data security and da...

Alternative Titles

Full title

Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b49d10bc3edf410f917370bad5cddf09

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b49d10bc3edf410f917370bad5cddf09

Other Identifiers

ISSN

1438-8871,1439-4456

E-ISSN

1438-8871

DOI

10.2196/41588

How to access this item