[
  {
    "phenotype_id": "PH21",
    "phenotype_version_id": 42,
    "name": "Asthma",
    "definition": "The data (demographics, emergency department letters, discharge summaries, clinical notes,\nlab results, vital signs) were retrieved and analyzed in near real-time from the structured and\nunstructured components of the electronic health record (EHR) using a variety of natural\nlanguage processing (NLP) informatics tools belonging to the CogStack ecosystem, namely\nMedCAT and MedCATTrainer. The CogStack NLP pipeline captures negation, synonyms,\nand acronyms for medical SNOMED-CT concepts as well as surrounding linguistic context using\ndeep learning and long short-term memory networks. MedCAT produces unsupervised\nannotations for all SNOMED-CT concepts under parent terms Clinical Finding, Disorder,\nOrganism, and Event with disambiguation, pre-trained on MIMIC-III. The annotated\nSNOMED-CT terms are summarised below\n\n\n\n\n\n",
    "implementation": "",
    "publications": [
      {
        "doi": "10.1101/2020.04.24.20078006",
        "details": "Carr E, Bendayan R, Bean D, OGallagher K, Pickles A, Stahl D, Zakeri R, Searle T, Shek A, Kraljevic Z, Teo J, Shah A, Dobson R. (2020) Supplementing the National Early Warning Score (NEWS2) for anticipating early deterioration among patients with COVID-19 infection. medRxiv DOI: 10.1101/2020.04.24.20078006"
      }
    ],
    "validation": "",
    "citation_requirements": "",
    "created": "2021-10-06T15:59:56.471256Z",
    "author": "Carr E, Bendayan R, Bean D, OGallagher K, Pickles A, Stahl D, Zakeri R, Searle T, Shek A, Kraljevic Z, Teo J, Shah A, Dobson R",
    "collections": [
      {
        "name": "Phenotype Library",
        "value": 18
      }
    ],
    "tags": null,
    "organisation": null,
    "world_access": 1,
    "updated": "2021-10-06T15:59:56.471289Z",
    "sex": [
      {
        "name": "Both",
        "value": "3"
      }
    ],
    "type": [
      {
        "name": "Disease or syndrome",
        "value": "2"
      }
    ],
    "ontology": null,
    "phenoflowid": "https://kclhi.org/phenoflow/workflows/github.com/phenoflow/Asthma---d65e0b50-16f9-11ef-9de4-4d4ea830ad16/blob/read-potential-cases-fhir/Asthma.cwl",
    "data_sources": [
      {
        "name": "Kings College Hospital NHS Foundation Trust",
        "value": 15,
        "uid": "",
        "url": "",
        "datasource_id": 15
      }
    ],
    "coding_system": [
      {
        "name": "SNOMED  CT codes",
        "value": 9
      }
    ],
    "event_date_range": "01/03/2020-05/04/2020",
    "concept_information": [
      {
        "concept_id": 765,
        "concept_version_id": 2669,
        "concept_name": "Asthma - Secondary care",
        "coding_system": {
          "id": 9,
          "name": "SNOMED  CT codes",
          "description": "SNOMED CT codes"
        },
        "phenotype_id": "PH21",
        "phenotype_version_id": 42,
        "phenotype_name": "Asthma",
        "code_attribute_header": [],
        "codes": [
          {
            "code": "195967001",
            "description": "Asthma (disorder)",
            "attributes": {}
          }
        ]
      }
    ],
    "status": 2,
    "doi": "https://doi.org/10.48533/87ng-0s39",
    "is_deleted": null,
    "publish_status": 2,
    "owner": "ieuan.scanlon",
    "template": {
      "id": 1,
      "name": "Clinical-Coded Phenotype",
      "description": "Phenotype definitions that are based on lists of clinical codes, or algorithms using clinical codes.",
      "version_id": 1
    },
    "versions": [
      {
        "version_id": 42,
        "version_name": "Asthma",
        "version_date": "2021-10-06T15:59:56.499451Z",
        "is_published": true,
        "is_latest": true
      }
    ]
  }
]