CancerProfilingClient.InferCancerProfileAsync メソッド

リファレンス

定義

名前空間:: Azure.Health.Insights.CancerProfiling

アセンブリ:: Azure.Health.Insights.CancerProfiling.dll

パッケージ:: Azure.Health.Insights.CancerProfiling v1.0.0-beta.1

重要

一部の情報は、リリース前に大きく変更される可能性があるプレリリースされた製品に関するものです。 Microsoft は、ここに記載されている情報について、明示または黙示を問わず、一切保証しません。

オーバーロード

InferCancerProfileAsync(WaitUntil, RequestContent, String, Nullable<DateTimeOffset>, RequestContext)	Onco Phenotype ジョブを作成します。
InferCancerProfileAsync(WaitUntil, OncoPhenotypeData, String, Nullable<DateTimeOffset>, CancellationToken)	Onco Phenotype ジョブを作成します。

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

ソース:: CancerProfilingClient.cs

Onco Phenotype ジョブを作成します。

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))

パラメーター

waitUntil: WaitUntil

Completed メソッドが、サービスで実行時間の長い操作が完了するまで戻るまで待機する必要がある場合。 Started 操作を開始した後にが返される場合は。実行時間の長い操作の詳細については、「 Azure.Core Long-Running 操作のサンプル」を参照してください。

content: RequestContent

要求の本文として送信するコンテンツ。要求本文スキーマの詳細については、以下の「解説」セクションを参照してください。

repeatabilityRequestId: String

要求の不透明でグローバルに一意のクライアント生成文字列識別子。

repeatabilityFirstSent: Nullable<DateTimeOffset>

要求が最初に作成された日時を指定します。

context: RequestContext

要求コンテキスト。これは、クライアントパイプラインの既定の動作を呼び出しごとにオーバーライドできます。

戻り値

Task<Operation<BinaryData>>

Operation<T>サービスに対する非同期操作が完了した後にオブジェクトを格納BinaryDataするサービスの。操作の最終値の本文スキーマの詳細については、以下の「解説」セクションを参照してください。

例外

ArgumentNullException

content が null です。

RequestFailedException

サービスから成功以外の状態コードが返されました。

例

このサンプルでは、必要なパラメーターと要求コンテンツを使用して InferCancerProfileAsync を呼び出す方法と、結果を解析する方法を示します。

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());

このサンプルでは、すべてのパラメーターと要求コンテンツを使用して InferCancerProfileAsync を呼び出す方法と、結果を解析する方法を示します。

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());

注釈

指定された要求本文を使用して Onco Phenotype ジョブを作成します。

要求と応答のペイロードの JSON スキーマを次に示します。

要求本文:

の OncoPhenotypeDataスキーマ:

{
  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.
}

応答本文:

の OncoPhenotypeResultスキーマ:

{
  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.
}

適用対象

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

ソース:: CancerProfilingClient.cs

Onco Phenotype ジョブを作成します。

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))

パラメーター

waitUntil: WaitUntil

oncoPhenotypeData: OncoPhenotypeData

Onco 表現型要求の本文。

repeatabilityRequestId: String

要求の不透明でグローバルに一意のクライアント生成文字列識別子。

repeatabilityFirstSent: Nullable<DateTimeOffset>

要求が最初に作成された日時を指定します。

cancellationToken: CancellationToken

使用する取り消しトークン。

戻り値

Task<Operation<OncoPhenotypeResult>>

例外

ArgumentNullException

oncoPhenotypeData が null です。

注釈

指定された要求本文を使用して Onco Phenotype ジョブを作成します。

適用対象

次の方法で共有

CancerProfilingClient.InferCancerProfileAsync メソッド

定義

オーバーロード

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

パラメーター

戻り値

例外

例

注釈

適用対象

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

パラメーター

戻り値

例外

注釈

適用対象

その他のリソース