Requirements Federated Learning and mUlti-party computation Techniques for prostatE cancer
0.1.0 - ci-build
Funded by the European Union

Requirements Federated Learning and mUlti-party computation Techniques for prostatE cancer, published by HL7 Europe. This guide is not an authorized publication; it is the continuous build for version 0.1.0 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/hl7-eu/flute-requirements/ and changes regularly. See the Directory of published versions

Requirements: F-IMSD-1

Official URL: https://flute.com/Requirements/F-IMSD-1 Version: 0.1.0
Draft as of 2023-10-25 Computable Name: F_IMSD_1

Copyright/Legal: HL7 Europe

ID: F-IMSD-1

Publisher: HL7 Europe

Contact Name Contact Points
HL7 Europe

Description:

SD algorithm shall offer a CSV file with the required number of instances of tabular data and each column should be in the expected format (i.e., categorical, numerical etc.).

Purpose:

Set of data and algorithmic requirements of both the developers and the users.

Copyright Label: Federated Learning and mUlti-party computation Techniques for prostatE cancer


Statements:

ID: F-IMSD-1a

Label: SD algorithm SHALL offer a CSV file with the required number of instances of tabular data.

Sources:

  • HL7 Europe
Conformance Requirement
SHALL

offer a CSV file with the required number of instances of tabular data

ID: F-IMSD-1b

Label: Each column SHOULD be in the expected format (i.e., categorical, numerical etc.).

Sources:

  • HL7 Europe
Conformance Requirement
SHOULD

be in the expected format (i.e., categorical, numerical etc.)