ClinicalMatchingClient.MatchTrials Metod

Referens

Definition

Namnområde:: Azure.Health.Insights.ClinicalMatching

Sammansättning:: Azure.Health.Insights.ClinicalMatching.dll

Paket:: Azure.Health.Insights.ClinicalMatching v1.0.0-beta.1

Viktigt

En del information gäller för förhandsversionen av en produkt och kan komma att ändras avsevärt innan produkten blir allmänt tillgänglig. Microsoft lämnar inga garantier, uttryckliga eller underförstådda, avseende informationen som visas här.

Överlagringar

MatchTrials(WaitUntil, RequestContent, String, Nullable<DateTimeOffset>, RequestContext)	Skapa utvärderingsmatchningsjobb.
MatchTrials(WaitUntil, TrialMatcherData, String, Nullable<DateTimeOffset>, CancellationToken)	Skapa utvärderingsmatchningsjobb.

MatchTrials(WaitUntil, RequestContent, String, Nullable<DateTimeOffset>, RequestContext)

Källa:: ClinicalMatchingClient.cs

Skapa utvärderingsmatchningsjobb.

public virtual Azure.Operation<BinaryData> MatchTrials(Azure.WaitUntil waitUntil, Azure.Core.RequestContent content, string repeatabilityRequestId = default, DateTimeOffset? repeatabilityFirstSent = default, Azure.RequestContext context = default);

abstract member MatchTrials : Azure.WaitUntil * Azure.Core.RequestContent * string * Nullable<DateTimeOffset> * Azure.RequestContext -> Azure.Operation<BinaryData>
override this.MatchTrials : Azure.WaitUntil * Azure.Core.RequestContent * string * Nullable<DateTimeOffset> * Azure.RequestContext -> Azure.Operation<BinaryData>

Public Overridable Function MatchTrials (waitUntil As WaitUntil, content As RequestContent, Optional repeatabilityRequestId As String = Nothing, Optional repeatabilityFirstSent As Nullable(Of DateTimeOffset) = Nothing, Optional context As RequestContext = Nothing) As Operation(Of BinaryData)

Parametrar

waitUntil: WaitUntil

Completed om metoden ska vänta med att returnera tills den långvariga åtgärden har slutförts på tjänsten; Started om den ska returneras när åtgärden har startats. Mer information om långvariga åtgärder finns i Azure.Core Long-Running Åtgärdsexempel.

content: RequestContent

Innehållet som ska skickas som brödtext i begäran. Information om begärandetextschemat finns i avsnittet Kommentarer nedan.

repeatabilityRequestId: String

En täckande, globalt unik, klientgenererad strängidentifierare för begäran.

repeatabilityFirstSent: Nullable<DateTimeOffset>

Anger det datum och den tid då begäran först skapades.

context: RequestContext

Begärandekontexten, som kan åsidosätta standardbeteenden för klientpipelinen per anrop.

Returer

Operation<BinaryData>

Operation<T> Från tjänsten som ska innehålla ett BinaryData objekt när den asynkrona åtgärden på tjänsten har slutförts. Information om brödtextschemat för åtgärdens slutliga värde finns i avsnittet Kommentarer nedan.

Undantag

ArgumentNullException

content är null.

RequestFailedException

Tjänsten returnerade en statuskod som inte lyckades.

Exempel

Det här exemplet visar hur du anropar MatchTrials med nödvändiga parametrar och begär innehåll och hur du parsar resultatet.

var credential = new AzureKeyCredential("<key>");
var endpoint = new Uri("<https://my-service.azure.com>");
var client = new ClinicalMatchingClient(endpoint, credential);

var data = new {
    patients = new[] {
        new {
            id = "<id>",
        }
    },
};

var operation = client.MatchTrials(WaitUntil.Completed, RequestContent.Create(data));

BinaryData data = operation.Value;
JsonElement result = JsonDocument.Parse(data.ToStream()).RootElement;
Console.WriteLine(result.GetProperty("jobId").ToString());
Console.WriteLine(result.GetProperty("createdDateTime").ToString());
Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
Console.WriteLine(result.GetProperty("lastUpdateDateTime").ToString());
Console.WriteLine(result.GetProperty("status").ToString());

Det här exemplet visar hur du anropar MatchTrials med alla parametrar och begär innehåll och hur du parsar resultatet.

var credential = new AzureKeyCredential("<key>");
var endpoint = new Uri("<https://my-service.azure.com>");
var client = new ClinicalMatchingClient(endpoint, credential);

var data = new {
    patients = new[] {
        new {
            id = "<id>",
            info = new {
                sex = "female",
                birthDate = "2022-05-10",
                clinicalInfo = new[] {
                    new {
                        system = "<system>",
                        code = "<code>",
                        name = "<name>",
                        value = "<value>",
                    }
                },
            },
            data = new[] {
                new {
                    type = "note",
                    clinicalType = "consultation",
                    id = "<id>",
                    language = "<language>",
                    createdDateTime = "2022-05-10T14:57:31.2311892-04:00",
                    content = new {
                        sourceType = "inline",
                        value = "<value>",
                    },
                }
            },
        }
    },
    configuration = new {
        verbose = true,
        includeEvidence = true,
        clinicalTrials = new {
            customTrials = new[] {
                new {
                    id = "<id>",
                    eligibilityCriteriaText = "<eligibilityCriteriaText>",
                    demographics = new {
                        acceptedSex = "all",
                        acceptedAgeRange = new {
                            minimumAge = new {
                                unit = "years",
                                value = 123.45f,
                            },
                            maximumAge = new {
                                unit = "years",
                                value = 123.45f,
                            },
                        },
                    },
                    metadata = new {
                        phases = new[] {
                            "notApplicable"
                        },
                        studyType = "interventional",
                        recruitmentStatus = "unknownStatus",
                        conditions = new[] {
                            "<String>"
                        },
                        sponsors = new[] {
                            "<String>"
                        },
                        contacts = new[] {
                            new {
                                name = "<name>",
                                email = "<email>",
                                phone = "<phone>",
                            }
                        },
                        facilities = new[] {
                            new {
                                name = "<name>",
                                city = "<city>",
                                state = "<state>",
                                countryOrRegion = "<countryOrRegion>",
                            }
                        },
                    },
                }
            },
            registryFilters = new[] {
                new {
                    conditions = new[] {
                        "<String>"
                    },
                    studyTypes = new[] {
                        "interventional"
                    },
                    recruitmentStatuses = new[] {
                        "unknownStatus"
                    },
                    sponsors = new[] {
                        "<String>"
                    },
                    phases = new[] {
                        "notApplicable"
                    },
                    purposes = new[] {
                        "notApplicable"
                    },
                    ids = new[] {
                        "<String>"
                    },
                    sources = new[] {
                        "custom"
                    },
                    facilityNames = new[] {
                        "<String>"
                    },
                    facilityLocations = new[] {
                        new {
                            city = "<city>",
                            state = "<state>",
                            countryOrRegion = "<countryOrRegion>",
                        }
                    },
                    facilityAreas = new[] {
                        new {
                            type = "Feature",
                            geometry = new {
                                type = "Point",
                                coordinates = new[] {
                                    123.45f
                                },
                            },
                            properties = new {
                                subType = "Circle",
                                radius = 123.45d,
                            },
                        }
                    },
                }
            },
        },
    },
};

var operation = client.MatchTrials(WaitUntil.Completed, RequestContent.Create(data), "<repeatabilityRequestId>", DateTimeOffset.UtcNow);

BinaryData data = operation.Value;
JsonElement result = JsonDocument.Parse(data.ToStream()).RootElement;
Console.WriteLine(result.GetProperty("jobId").ToString());
Console.WriteLine(result.GetProperty("createdDateTime").ToString());
Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
Console.WriteLine(result.GetProperty("lastUpdateDateTime").ToString());
Console.WriteLine(result.GetProperty("status").ToString());
Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("id").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("type").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("value").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("description").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("confidenceScore").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("evidence")[0].GetProperty("eligibilityCriteriaEvidence").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("evidence")[0].GetProperty("patientDataEvidence").GetProperty("id").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("evidence")[0].GetProperty("patientDataEvidence").GetProperty("text").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("evidence")[0].GetProperty("patientDataEvidence").GetProperty("offset").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("evidence")[0].GetProperty("patientDataEvidence").GetProperty("length").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("evidence")[0].GetProperty("patientInfoEvidence").GetProperty("system").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("evidence")[0].GetProperty("patientInfoEvidence").GetProperty("code").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("evidence")[0].GetProperty("patientInfoEvidence").GetProperty("name").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("evidence")[0].GetProperty("patientInfoEvidence").GetProperty("value").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("evidence")[0].GetProperty("importance").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("id").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("source").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("metadata").GetProperty("phases")[0].ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("metadata").GetProperty("studyType").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("metadata").GetProperty("recruitmentStatus").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("metadata").GetProperty("conditions")[0].ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("metadata").GetProperty("sponsors")[0].ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("metadata").GetProperty("contacts")[0].GetProperty("name").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("metadata").GetProperty("contacts")[0].GetProperty("email").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("metadata").GetProperty("contacts")[0].GetProperty("phone").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("metadata").GetProperty("facilities")[0].GetProperty("name").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("metadata").GetProperty("facilities")[0].GetProperty("city").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("metadata").GetProperty("facilities")[0].GetProperty("state").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("inferences")[0].GetProperty("metadata").GetProperty("facilities")[0].GetProperty("countryOrRegion").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("neededClinicalInfo")[0].GetProperty("system").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("neededClinicalInfo")[0].GetProperty("code").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("neededClinicalInfo")[0].GetProperty("name").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("neededClinicalInfo")[0].GetProperty("value").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("neededClinicalInfo")[0].GetProperty("semanticType").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("patients")[0].GetProperty("neededClinicalInfo")[0].GetProperty("category").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("modelVersion").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("knowledgeGraphLastUpdateDate").ToString());

Kommentarer

Skapar ett testmatchningsjobb med det angivna begärandetexten.

Nedan visas JSON-schemat för nyttolasterna för begäran och svar.

Begärandetext:

Schema för TrialMatcherData:

{
  patients: [
    {
      id: string, # Required. A given identifier for the patient. Has to be unique across all patients in a single request.
      info: {
        sex: "female" | "male" | "unspecified", # Optional. The patient's sex.
        birthDate: string (date), # Optional. The patient's date of birth.
        clinicalInfo: [ClinicalCodedElement], # Optional. Known clinical information for the patient, structured.
      }, # Optional. Patient structured information, including demographics and known structured clinical information.
      data: [PatientDocument], # Optional. Patient unstructured clinical data, given as documents.
    }
  ], # Required. The list of patients, including their clinical information and data.
  configuration: {
    verbose: boolean, # Optional. An indication whether the model should produce verbose output.
    includeEvidence: boolean, # Optional. An indication whether the model's output should include evidence for the inferences.
    clinicalTrials: {
      customTrials: [ClinicalTrialDetails], # Optional. A list of clinical trials.
      registryFilters: [ClinicalTrialRegistryFilter], # Optional. A list of filters, each one creating a selection of trials from a given
clinical trial registry.
    }, # Required. The clinical trials that the patient(s) should be matched to. &lt;br /&gt;The trial
selection can be given as a list of custom clinical trials and/or a list of
filters to known clinical trial registries. In case both are given, the
resulting trial set is a union of the two sets.
  }, # Optional. Configuration affecting the Trial Matcher model's inference.
}

Svarstext:

Schema för TrialMatcherResult:

{
  jobId: string, # Required. A processing job identifier.
  createdDateTime: string (date & time), # Required. The date and time when the processing job was created.
  expirationDateTime: string (date & time), # Required. The date and time when the processing job is set to expire.
  lastUpdateDateTime: string (date & time), # Required. The date and time when the processing job was last updated.
  status: "notStarted" | "running" | "succeeded" | "failed" | "partiallyCompleted", # Required. The status of the processing job.
  errors: [
    {
      code: string, # Required. One of a server-defined set of error codes.
      message: string, # Required. A human-readable representation of the error.
      target: string, # Optional. The target of the error.
      details: [Error], # Required. An array of details about specific errors that led to this reported error.
      innererror: {
        code: string, # Required. One of a server-defined set of error codes.
        innererror: InnerError, # Optional. Inner error.
      }, # Optional. An object containing more specific information than the current object about the error.
    }
  ], # Optional. An array of errors, if any errors occurred during the processing job.
  results: {
    patients: [TrialMatcherPatientResult], # Required. Results for the patients given in the request.
    modelVersion: string, # Required. The version of the model used for inference, expressed as the model date.
    knowledgeGraphLastUpdateDate: string (date), # Optional. The date when the clinical trials knowledge graph was last updated.
  }, # Optional. The inference results for the Trial Matcher request.
}

Gäller för

MatchTrials(WaitUntil, TrialMatcherData, String, Nullable<DateTimeOffset>, CancellationToken)

Källa:: ClinicalMatchingClient.cs

Skapa utvärderingsmatchningsjobb.

public virtual Azure.Operation<Azure.Health.Insights.ClinicalMatching.TrialMatcherResult> MatchTrials(Azure.WaitUntil waitUntil, Azure.Health.Insights.ClinicalMatching.TrialMatcherData trialMatcherData, string repeatabilityRequestId = default, DateTimeOffset? repeatabilityFirstSent = default, System.Threading.CancellationToken cancellationToken = default);

abstract member MatchTrials : Azure.WaitUntil * Azure.Health.Insights.ClinicalMatching.TrialMatcherData * string * Nullable<DateTimeOffset> * System.Threading.CancellationToken -> Azure.Operation<Azure.Health.Insights.ClinicalMatching.TrialMatcherResult>
override this.MatchTrials : Azure.WaitUntil * Azure.Health.Insights.ClinicalMatching.TrialMatcherData * string * Nullable<DateTimeOffset> * System.Threading.CancellationToken -> Azure.Operation<Azure.Health.Insights.ClinicalMatching.TrialMatcherResult>

Public Overridable Function MatchTrials (waitUntil As WaitUntil, trialMatcherData As TrialMatcherData, Optional repeatabilityRequestId As String = Nothing, Optional repeatabilityFirstSent As Nullable(Of DateTimeOffset) = Nothing, Optional cancellationToken As CancellationToken = Nothing) As Operation(Of TrialMatcherResult)

Parametrar

waitUntil: WaitUntil

trialMatcherData: TrialMatcherData

Brödtexten i begäran om utvärderingsmatchning.

repeatabilityRequestId: String

En täckande, globalt unik, klientgenererad strängidentifierare för begäran.

repeatabilityFirstSent: Nullable<DateTimeOffset>

Anger det datum och den tid då begäran först skapades.

cancellationToken: CancellationToken

Den annulleringstoken som ska användas.

Returer

Operation<TrialMatcherResult>

Undantag

ArgumentNullException

trialMatcherData är null.

Kommentarer

Skapar ett testmatchningsjobb med det angivna begärandetexten.

Gäller för

Dela via

ClinicalMatchingClient.MatchTrials Metod

Definition

Överlagringar

MatchTrials(WaitUntil, RequestContent, String, Nullable<DateTimeOffset>, RequestContext)

Parametrar

Returer

Undantag

Exempel

Kommentarer

Gäller för

MatchTrials(WaitUntil, TrialMatcherData, String, Nullable<DateTimeOffset>, CancellationToken)

Parametrar

Returer

Undantag

Kommentarer

Gäller för

Ytterligare resurser