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Packageflute.requirements
Resource TypeRequirements
IdRequirements-F-IMSD-14.json
FHIR VersionR5
Sourcehttps://build.fhir.org/ig/hl7-eu/flute-requirements/Requirements-F-IMSD-14.html
URLhttps://flute.com/Requirements/F-IMSD-14
Version0.1.0
Statusdraft
Date2023-10-25T10:31:30.239Z
NameF_IMSD_14
TitleF-IMSD-14
Authorityhl7
DescriptionData imputation should be considered when historical data is not available, and there is uncertainty or bad quality in the 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: F-IMSD-14

Publisher: HL7 Europe

Contact Name Contact Points
HL7 Europe

Description:

Data imputation should be considered when historical data is not available, and there is uncertainty or bad quality in the 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: F-IMSD-14

Label: Data imputation SHOULD be considered when historical data is not available, and there is uncertainty or bad quality in the data.

Sources:

  • HL7 Europe
Conformance Requirement
SHALL

be considered when historical data is not available, and there is uncertainty or bad quality in the data

Source1

{
  "resourceType": "Requirements",
  "id": "F-IMSD-14",
  "text": {
    "status": "extensions",
    "div": "<!-- snip (see above) -->"
  },
  "url": "https://flute.com/Requirements/F-IMSD-14",
  "version": "0.1.0",
  "name": "F_IMSD_14",
  "title": "F-IMSD-14",
  "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": "Data imputation should be considered when historical data is not available, and there is uncertainty or bad quality in the 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": "F-IMSD-14",
      "label": "Data imputation SHOULD be considered when historical data is not available, and there is uncertainty or bad quality in the data.",
      "conformance": [
        "SHALL"
      ],
      "requirement": "be considered when historical data is not available, and there is uncertainty or bad quality in the data",
      "source": [
        {
          "display": "HL7 Europe"
        }
      ]
    }
  ]
}