CancerProfilingClient.InferCancerProfileAsync Método

Referência

Definição

Namespace:: Azure.Health.Insights.CancerProfiling

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

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

Importante

Algumas informações se referem a produtos de pré-lançamento que podem ser substancialmente modificados antes do lançamento. A Microsoft não oferece garantias, expressas ou implícitas, das informações aqui fornecidas.

Sobrecargas

InferCancerProfileAsync(WaitUntil, RequestContent, String, Nullable<DateTimeOffset>, RequestContext)	Criar trabalho do Onco Phenotype.
InferCancerProfileAsync(WaitUntil, OncoPhenotypeData, String, Nullable<DateTimeOffset>, CancellationToken)	Criar trabalho do Onco Phenotype.

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

Origem:: CancerProfilingClient.cs

Criar trabalho do Onco Phenotype.

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

abstract member InferCancerProfileAsync : Azure.WaitUntil * Azure.Core.RequestContent * string * Nullable<DateTimeOffset> * Azure.RequestContext -> System.Threading.Tasks.Task<Azure.Operation<BinaryData>>
override this.InferCancerProfileAsync : Azure.WaitUntil * Azure.Core.RequestContent * string * Nullable<DateTimeOffset> * Azure.RequestContext -> System.Threading.Tasks.Task<Azure.Operation<BinaryData>>

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

Parâmetros

waitUntil: WaitUntil

Completed se o método deve aguardar para retornar até que a operação de execução prolongada seja concluída no serviço; Started se ele deve retornar depois de iniciar a operação. Para obter mais informações sobre operações de execução prolongada, consulte Exemplos de operação de Long-Running do Azure.Core.

content: RequestContent

O conteúdo a ser enviado como o corpo da solicitação. Os detalhes do esquema do corpo da solicitação estão na seção Comentários abaixo.

repeatabilityRequestId: String

Um identificador de cadeia de caracteres opaco, globalmente exclusivo e gerado pelo cliente para a solicitação.

repeatabilityFirstSent: Nullable<DateTimeOffset>

Especifica a data e a hora em que a solicitação foi criada pela primeira vez.

context: RequestContext

O contexto de solicitação, que pode substituir os comportamentos padrão do pipeline do cliente por chamada.

Retornos

Task<Operation<BinaryData>>

O Operation<T> do serviço que conterá um BinaryData objeto depois que a operação assíncrona no serviço for concluída. Os detalhes do esquema do corpo do valor final da operação estão na seção Comentários abaixo.

Exceções

ArgumentNullException

content é nulo.

RequestFailedException

O serviço retornou um código de status sem êxito.

Exemplos

Este exemplo mostra como chamar InferCancerProfileAsync com os parâmetros necessários e solicitar conteúdo e como analisar o resultado.

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 = await client.InferCancerProfileAsync(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());

Este exemplo mostra como chamar InferCancerProfileAsync com todos os parâmetros e conteúdo da solicitação e como analisar o resultado.

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 = await client.InferCancerProfileAsync(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());

Comentários

Cria um trabalho Onco Phenotype com o corpo da solicitação fornecido.

Abaixo está o esquema JSON para as cargas de solicitação e resposta.

Corpo da solicitação:

Esquema para 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 da resposta:

Esquema para 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.
}

Aplica-se a

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

Origem:: CancerProfilingClient.cs

Criar trabalho do Onco Phenotype.

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

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

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

Parâmetros

waitUntil: WaitUntil

oncoPhenotypeData: OncoPhenotypeData

O corpo da solicitação Onco Phenotype.

repeatabilityRequestId: String

Um identificador de cadeia de caracteres opaco, globalmente exclusivo e gerado pelo cliente para a solicitação.

repeatabilityFirstSent: Nullable<DateTimeOffset>

Especifica a data e a hora em que a solicitação foi criada pela primeira vez.

cancellationToken: CancellationToken

O token de cancelamento a ser usado.

Retornos

Task<Operation<OncoPhenotypeResult>>

Exceções

ArgumentNullException

oncoPhenotypeData é nulo.

Comentários

Cria um trabalho Onco Phenotype com o corpo da solicitação fornecido.

Aplica-se a

Compartilhar via

CancerProfilingClient.InferCancerProfileAsync Método

Definição

Sobrecargas

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

Parâmetros

Retornos

Exceções

Exemplos

Comentários

Aplica-se a

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

Parâmetros

Retornos

Exceções

Comentários

Aplica-se a

Recursos adicionais