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Article

FAIR-ification of structured Head and Neck Cancer clinical data for multi-institutional collaboration and federated learning

2023-03-23

Abstract excerpt

Federated learning has been demonstrated as an acceptable clinical research methodology for producing analyses and models on dispersed datasets, without the need for exchanging individual patient-level data. Attention needs to be given to making repositories of clinical data Findable, Accessible, Interoperable and Reusable (FAIR) in order to realize the potential of such clinical data in federated learning applica...

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Literature Corpus work
93dbe317-6d35-550d-a387-d63c40fd0940
DOI
10.21203/rs.3.rs-2705743/v1
Open publication

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FAIR-ification of structured Head and Neck Cancer clinical data for multi-institutional collaboration and federated learningDOI 10.21203/rs.3.rs-2705743/v1
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