SYNTHEMA slide deck

Name: SYNTHEMA slide deck
Creator: AUSTRALO
Keywords: Use cases, haematological data, health data, haematological diseases, federated computing networks, artificial intelligence techniques, synthetic data, virtual patients, rare disease, Sickle Cell Disease (SCD), Acute Myeloid Leukaemia (AML), privacy-by-design, ethics and data protection, clinical data anonymisation, European Health Data Space, secure multi-party computation

AUSTRALO

Found an issue? Give us feedback

ZENODOarrow_drop_down

ZENODO

Presentation . 2023

License: CC BY

Data sources: Datacite

ZENODO

Presentation . 2023

License: CC BY

Data sources: Datacite

SYNTHEMA slide deck

descriptionPublicationkeyboard_double_arrow_right Presentation 23 May 2023Publisher:Zenodo

Authors: AUSTRALO;

doi: 10.5281/zenodo.7962300 , 10.5281/zenodo.7962299

SYNTHEMA slide deck

- Summary
- Subjects
- Metrics

Abstract

SYNTHEMA slide deck for public use approved by all consortium members.

Keywords

Use cases, haematological data, health data, haematological diseases, federated computing networks, artificial intelligence techniques, synthetic data, virtual patients, rare disease, Sickle Cell Disease (SCD), Acute Myeloid Leukaemia (AML), privacy-by-design, ethics and data protection, clinical data anonymisation, European Health Data Space, secure multi-party computation

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average