CancerProfilingClient.InferCancerProfile Metodo

Riferimento

Definizione

Spazio dei nomi:: Azure.Health.Insights.CancerProfiling

Assembly:: Azure.Health.Insights.CancerProfiling.dll

Pacchetto:: Azure.Health.Insights.CancerProfiling v1.0.0-beta.1

Importante

Alcune informazioni sono relative alla release non definitiva del prodotto, che potrebbe subire modifiche significative prima della release definitiva. Microsoft non riconosce alcuna garanzia, espressa o implicita, in merito alle informazioni qui fornite.

Overload

InferCancerProfile(WaitUntil, RequestContent, String, Nullable<DateTimeOffset>, RequestContext)	Creare un processo Onco Phenotype.
InferCancerProfile(WaitUntil, OncoPhenotypeData, String, Nullable<DateTimeOffset>, CancellationToken)	Creare un processo Onco Phenotype.

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

Origine:: CancerProfilingClient.cs

Creare un processo Onco Phenotype.

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

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

Public Overridable Function InferCancerProfile (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)

Parametri

waitUntil: WaitUntil

Completed se il metodo deve attendere il ritorno fino al completamento dell'operazione a esecuzione prolungata nel servizio; Started se deve restituire dopo l'avvio dell'operazione. Per altre informazioni sulle operazioni a esecuzione prolungata, vedere Esempi di operazioni di Azure.Core Long-Running.

content: RequestContent

Contenuto da inviare come corpo della richiesta. I dettagli dello schema del corpo della richiesta sono disponibili nella sezione Osservazioni riportate di seguito.

repeatabilityRequestId: String

Identificatore stringa opaco, univoco a livello globale e generato dal client per la richiesta.

repeatabilityFirstSent: Nullable<DateTimeOffset>

Specifica la data e l'ora in cui è stata creata la richiesta.

context: RequestContext

Contesto della richiesta, che può eseguire l'override dei comportamenti predefiniti della pipeline client in base a una chiamata.

Restituisce

Operation<BinaryData>

Oggetto Operation<T> dal servizio che conterrà un BinaryData oggetto una volta completata l'operazione asincrona nel servizio. I dettagli dello schema del corpo per il valore finale dell'operazione si trovano nella sezione Osservazioni riportate di seguito.

Eccezioni

ArgumentNullException

content è null.

RequestFailedException

Il servizio ha restituito un codice di stato non riuscito.

Esempio

Questo esempio illustra come chiamare InferCancerProfile con i parametri e il contenuto della richiesta necessari e come analizzare il risultato.

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

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

var operation = client.InferCancerProfile(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());

Questo esempio illustra come chiamare InferCancerProfile con tutti i parametri e il contenuto della richiesta e come analizzare il risultato.

var credential = new AzureKeyCredential("<key>");
var endpoint = new Uri("<https://my-service.azure.com>");
var client = new CancerProfilingClient(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,
        inferenceTypes = new[] {
            "tumorSite"
        },
        checkForCancerCase = true,
    },
};

var operation = client.InferCancerProfile(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("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("caseId").ToString());
Console.WriteLine(result.GetProperty("results").GetProperty("modelVersion").ToString());

Commenti

Crea un processo Onco Phenotype con il corpo della richiesta specificato.

Di seguito è riportato lo schema JSON per i payload di richiesta e risposta.

Corpo della richiesta:

Schema per OncoPhenotypeData:

{
  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.
    inferenceTypes: ["tumorSite" | "histology" | "clinicalStageT" | "clinicalStageN" | "clinicalStageM" | "pathologicStageT" | "pathologicStageN" | "pathologicStageM"], # Optional. A list of inference types to be inferred for the current request.
This could be used if only part of the Onco Phenotype inferences are required.
If this list is omitted or empty, the model will return all the inference types.
    checkForCancerCase: boolean, # Optional. An indication whether to perform a preliminary step on the patient's documents to determine whether they relate to a Cancer case.
  }, # Optional. Configuration affecting the Onco Phenotype model's inference.
}

Corpo della risposta:

Schema per OncoPhenotypeResult:

{
  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: [OncoPhenotypePatientResult], # 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.
  }, # Optional. The inference results for the Onco Phenotype request.
}

Si applica a

InferCancerProfile(WaitUntil, OncoPhenotypeData, String, Nullable<DateTimeOffset>, CancellationToken)

Origine:: CancerProfilingClient.cs

Creare un processo Onco Phenotype.

public virtual Azure.Operation<Azure.Health.Insights.CancerProfiling.OncoPhenotypeResult> InferCancerProfile(Azure.WaitUntil waitUntil, Azure.Health.Insights.CancerProfiling.OncoPhenotypeData oncoPhenotypeData, string repeatabilityRequestId = default, DateTimeOffset? repeatabilityFirstSent = default, System.Threading.CancellationToken cancellationToken = default);

abstract member InferCancerProfile : Azure.WaitUntil * Azure.Health.Insights.CancerProfiling.OncoPhenotypeData * string * Nullable<DateTimeOffset> * System.Threading.CancellationToken -> Azure.Operation<Azure.Health.Insights.CancerProfiling.OncoPhenotypeResult>
override this.InferCancerProfile : Azure.WaitUntil * Azure.Health.Insights.CancerProfiling.OncoPhenotypeData * string * Nullable<DateTimeOffset> * System.Threading.CancellationToken -> Azure.Operation<Azure.Health.Insights.CancerProfiling.OncoPhenotypeResult>

Public Overridable Function InferCancerProfile (waitUntil As WaitUntil, oncoPhenotypeData As OncoPhenotypeData, Optional repeatabilityRequestId As String = Nothing, Optional repeatabilityFirstSent As Nullable(Of DateTimeOffset) = Nothing, Optional cancellationToken As CancellationToken = Nothing) As Operation(Of OncoPhenotypeResult)

Parametri

waitUntil: WaitUntil

oncoPhenotypeData: OncoPhenotypeData

Corpo della richiesta Onco Phenotype.

repeatabilityRequestId: String

Identificatore stringa opaco, univoco a livello globale e generato dal client per la richiesta.

repeatabilityFirstSent: Nullable<DateTimeOffset>

Specifica la data e l'ora in cui è stata creata la richiesta.

cancellationToken: CancellationToken

Token di annullamento da usare.

Restituisce

Operation<OncoPhenotypeResult>

Eccezioni

ArgumentNullException

oncoPhenotypeData è null.

Commenti

Crea un processo Onco Phenotype con il corpo della richiesta specificato.

Si applica a

Condividi tramite

CancerProfilingClient.InferCancerProfile Metodo

Definizione

Overload

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

Parametri

Restituisce

Eccezioni

Esempio

Commenti

Si applica a

InferCancerProfile(WaitUntil, OncoPhenotypeData, String, Nullable<DateTimeOffset>, CancellationToken)

Parametri

Restituisce

Eccezioni

Commenti

Si applica a

Risorse aggiuntive