/* * Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. * * Licensed under the Apache License, Version 2.0 (the "License"). * You may not use this file except in compliance with the License. * A copy of the License is located at * * http://aws.amazon.com/apache2.0 * * or in the "license" file accompanying this file. This file is distributed * on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either * express or implied. See the License for the specific language governing * permissions and limitations under the License. */ /* * Do not modify this file. This file is generated from the comprehendmedical-2018-10-30.normal.json service model. */ using System; using System.Collections.Generic; using System.Xml.Serialization; using System.Text; using System.IO; using System.Net; using Amazon.Runtime; using Amazon.Runtime.Internal; namespace Amazon.ComprehendMedical.Model { /// /// Container for the parameters to the InferSNOMEDCT operation. /// InferSNOMEDCT detects possible medical concepts as entities and links them to codes /// from the Systematized Nomenclature of Medicine, Clinical Terms (SNOMED-CT) ontology /// public partial class InferSNOMEDCTRequest : AmazonComprehendMedicalRequest { private string _text; /// /// Gets and sets the property Text. /// /// The input text to be analyzed using InferSNOMEDCT. /// /// [AWSProperty(Required=true, Min=1, Max=10000)] public string Text { get { return this._text; } set { this._text = value; } } // Check to see if Text property is set internal bool IsSetText() { return this._text != null; } } }