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Packageflute.requirements
Resource TypeRequirements
IdRequirements-NF-IMSD-4.json
FHIR VersionR5
Sourcehttps://build.fhir.org/ig/hl7-eu/flute-requirements/Requirements-NF-IMSD-4.html
URLhttps://flute.com/Requirements/NF-IMSD-4
Version0.1.0
Statusdraft
Date2023-10-25T10:31:30.239Z
NameNF_IMSD_4
TitleNF-IMSD-4
Authorityhl7
DescriptionSynthetic data used in combination with real data (data augmentation) improves the prediction performance of the algorithms trained using only real data.
PurposeSet of data and algorithmic requirements of both the developers and the users.
CopyrightHL7 Europe
Copyright LabelFederated Learning and mUlti-party computation Techniques for prostatE cancer

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Narrative

Note: links and images are rebased to the (stated) source

ID: NF-IMSD-4

Publisher: HL7 Europe

Contact Name Contact Points
HL7 Europe

Description:

Synthetic data used in combination with real data (data augmentation) improves the prediction performance of the algorithms trained using only real data.

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: NF-IMSD-4

Label: Synthetic data used in combination with real data (data augmentation) SHOULD improves the prediction performance of the algorithms trained using only real data.

Sources:

  • HL7 Europe
Conformance Requirement
SHOULD

improves the prediction performance of the algorithms trained using only real data

Source1

{
  "resourceType": "Requirements",
  "id": "NF-IMSD-4",
  "text": {
    "status": "extensions",
    "div": "<!-- snip (see above) -->"
  },
  "url": "https://flute.com/Requirements/NF-IMSD-4",
  "version": "0.1.0",
  "name": "NF_IMSD_4",
  "title": "NF-IMSD-4",
  "status": "draft",
  "date": "2023-10-25T10:31:30.239Z",
  "publisher": "HL7 Europe",
  "contact": [
    {
      "name": "HL7 Europe",
      "telecom": [
        {
          "system": "url",
          "value": "https://www.hl7.eu"
        }
      ]
    }
  ],
  "description": "Synthetic data used in combination with real data (data augmentation) improves the prediction performance of the algorithms trained using only real data.",
  "purpose": "Set of data and algorithmic requirements of both the developers and the users.",
  "copyright": "HL7 Europe",
  "copyrightLabel": "Federated Learning and mUlti-party computation Techniques for prostatE cancer",
  "statement": [
    {
      "key": "NF-IMSD-4",
      "label": "Synthetic data used in combination with real data (data augmentation) SHOULD improves the prediction performance of the algorithms trained using only real data.",
      "conformance": [
        "SHOULD"
      ],
      "requirement": "improves the prediction performance of the algorithms trained using only real data",
      "source": [
        {
          "display": "HL7 Europe"
        }
      ]
    }
  ]
}