Bringing the Algorithms to the Data -- Secure Distributed Medical Analytics using the Personal Health Train (PHT-meDIC). (arXiv:2212.03481v1 [cs.LG])

The need for data privacy and security -- enforced through increasingly
strict data protection regulations -- renders the use of healthcare data for
machine learning difficult. In particular, the transfer of data between
different hospitals is often not permissible and thus cross-site pooling of
data not an option. The Personal Health Train (PHT) paradigm proposed within
the GO-FAIR initiative implements an 'algorithm to the data' paradigm that
ensures that distributed data can be accessed for analysis without transferring
any sensitive …

algorithms analytics data distributed health medical personal train