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This page is part of the FHIR for FAIR - FHIR Implementation Guide (v1.0.0: STU 1) based on FHIR v4.3.0. This is the current published version. For a full list of available versions, see the Directory of published versions

: FAIR4Health study case 2 [Library] - JSON Representation

Active as of 2022-09-28

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{
  "resourceType" : "Library",
  "id" : "f4h-lib-2",
  "meta" : {
    "profile" : [
      "http://hl7.org/fhir/uv/fhir-for-fair/StructureDefinition/Library-uv-f4f"
    ]
  },
  "text" : {
    "status" : "additional",
    "div" : "<div xmlns=\"http://www.w3.org/1999/xhtml\"><h3>FAIR4Health Study 2: 30-days readmission risk in COPD patients</h3><p><strong>ID: </strong>https://example.org/registry/f4h-study-2</p><table border=\"1\"><tbody><tr><td><strong>Research study</strong></td><td><strong>Description</strong></td><td><strong>Total number of sites</strong></td><td><strong>Total number of patients</strong></td><td><strong>AI Algorithm</strong></td></tr><tr><td>2</td><td>Develop and pilot an early prediction service for 30-days readmission risk in COPD (Chronic Obstructive Pulmonary Disease) patients</td><td>3</td><td>4.944</td><td>Support Vector Machine (SVM), Logistic Regression, Decision Trees, Random Forest, Gradient Boosted Trees</td></tr></tbody></table><h3>Contents</h3><p>Subject 1 Data <code>https://example.org/registry/f4h-study-2-sbj-1</code> (<code>application/fhir+json</code>)</p><p>(C) Fair4Health H2020 Project.</p><p>This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 824666.</p></div>"
  },
  "extension" : [
    {
      "url" : "http://hl7.org/fhir/uv/fhir-for-fair/StructureDefinition/library-relatedContent",
      "valueRelatedArtifact" : {
        "extension" : [
          {
            "url" : "http://hl7.org/fhir/uv/fhir-for-fair/StructureDefinition/relatedArtifactClassifier",
            "valueCodeableConcept" : {
              "coding" : [
                {
                  "system" : "http://terminology.hl7.org/CodeSystem/citation-artifact-classifier",
                  "code" : "fhir-resource"
                }
              ]
            }
          },
          {
            "url" : "http://hl7.org/fhir/uv/fhir-for-fair/StructureDefinition/relatedArtifactResourceReference",
            "valueReference" : {
              "reference" : "DocumentManifest/example-f4f-manifest"
            }
          }
        ],
        "type" : "composed-of"
      }
    }
  ],
  "url" : "https://example.org/registry/f4h-study-2",
  "version" : "1.0.0",
  "name" : "FAIR4HealthStudy2",
  "title" : "FAIR4Health Study 2: 30-days readmission risk in COPD patients",
  "status" : "active",
  "type" : {
    "coding" : [
      {
        "system" : "http://terminology.hl7.org/CodeSystem/library-type",
        "code" : "asset-collection"
      }
    ]
  },
  "date" : "2022-09-28T16:11:45+00:00",
  "publisher" : "Health Level Seven International - SOA Work Group",
  "contact" : [
    {
      "name" : "Health Level Seven International - SOA Work Group",
      "telecom" : [
        {
          "system" : "url",
          "value" : "http://www.hl7.org/Special/committees/soa"
        }
      ]
    },
    {
      "name" : "HL7 SOA Work Group",
      "telecom" : [
        {
          "system" : "url",
          "value" : "http://www.hl7.org/Special/committees/soa"
        }
      ]
    }
  ],
  "useContext" : [
    {
      "code" : {
        "system" : "http://example.org",
        "code" : "number-of-patients",
        "display" : "Total number of patients"
      },
      "valueQuantity" : {
        "value" : 4944
      }
    },
    {
      "code" : {
        "system" : "http://example.org",
        "code" : "number-of-sites",
        "display" : "Total number of sites"
      },
      "valueQuantity" : {
        "value" : 3
      }
    },
    {
      "code" : {
        "system" : "http://example.org",
        "code" : "algorithm",
        "display" : "AI Algorithm"
      },
      "valueCodeableConcept" : {
        "text" : "Support Vector Machine (SVM), Logistic Regression, Decision Trees, Random Forest, Gradient Boosted Trees"
      }
    }
  ],
  "jurisdiction" : [
    {
      "coding" : [
        {
          "system" : "http://unstats.un.org/unsd/methods/m49/m49.htm",
          "code" : "001",
          "display" : "World"
        }
      ]
    }
  ],
  "purpose" : "Develop and pilot an early prediction service for 30-days readmission risk in COPD (Chronic Obstructive Pulmonary Disease) patients",
  "copyright" : "Fair4Health H2020 Project"
}