Amazon Comprehend Medical 新增本体链接功能（二）
- 2019-12-20
本文字数：10018 字
阅读完需：约 33 分钟
正如预期，诊断结论和症状都被识别为实体。在详细的结果中，这些实体均链接到 ICD-10-CM 本体中的医疗状况。例如，输入文本中描述的两个主要诊断结论是排名最高的结果，而本体中的特定概念由 Comprehend Medical 推断得来，每个概念都有其自己的分数。
在生产环境中，您可以通过 API 使用 Comprehend Medical，将这些功能集成到您的处理工作流程中。上述所有屏幕截图均以 JSON 格式直观地呈现了 API 返回的结构化信息。例如，以下是检测药物的结果（RxNorm 概念）：
Json
{ "Entities": [ { "Id": 0, "Text": "Clonidine", "Category": "MEDICATION", "Type": "GENERIC_NAME", "Score": 0.9933062195777893, "BeginOffset": 83, "EndOffset": 92, "Attributes": [], "Traits": [], "RxNormConcepts": [ { "Description": "Clonidine", "Code": "2599", "Score": 0.9148101806640625 }, { "Description": "168 HR Clonidine 0.00417 MG/HR Transdermal System", "Code": "998671", "Score": 0.8215734958648682 }, { "Description": "Clonidine Hydrochloride 0.025 MG Oral Tablet", "Code": "892791", "Score": 0.7519310116767883 }, { "Description": "10 ML Clonidine Hydrochloride 0.5 MG/ML Injection", "Code": "884225", "Score": 0.7171697020530701 }, { "Description": "Clonidine Hydrochloride 0.2 MG Oral Tablet", "Code": "884185", "Score": 0.6776907444000244 } ] }, { "Id": 1, "Text": "Vyvanse", "Category": "MEDICATION", "Type": "BRAND_NAME", "Score": 0.9995427131652832, "BeginOffset": 148, "EndOffset": 155, "Attributes": [ { "Type": "DOSAGE", "Score": 0.9910679459571838, "RelationshipScore": 0.9999822378158569, "Id": 2, "BeginOffset": 156, "EndOffset": 162, "Text": "50 mgs", "Traits": [] }, { "Type": "ROUTE_OR_MODE", "Score": 0.9997182488441467, "RelationshipScore": 0.9993833303451538, "Id": 3, "BeginOffset": 163, "EndOffset": 165, "Text": "po", "Traits": [] }, { "Type": "FREQUENCY", "Score": 0.983681321144104, "RelationshipScore": 0.9999642372131348, "Id": 4, "BeginOffset": 166, "EndOffset": 184, "Text": "at breakfast daily", "Traits": [] } ], "Traits": [], "RxNormConcepts": [ { "Description": "lisdexamfetamine dimesylate 50 MG Oral Capsule [Vyvanse]", "Code": "854852", "Score": 0.8883932828903198 }, { "Description": "lisdexamfetamine dimesylate 50 MG Chewable Tablet [Vyvanse]", "Code": "1871469", "Score": 0.7482635378837585 }, { "Description": "Vyvanse", "Code": "711043", "Score": 0.7041242122650146 }, { "Description": "lisdexamfetamine dimesylate 70 MG Oral Capsule [Vyvanse]", "Code": "854844", "Score": 0.23675969243049622 }, { "Description": "lisdexamfetamine dimesylate 60 MG Oral Capsule [Vyvanse]", "Code": "854848", "Score": 0.14077001810073853 } ] }, { "Id": 5, "Text": "Clonidine", "Category": "MEDICATION", "Type": "GENERIC_NAME", "Score": 0.9982216954231262, "BeginOffset": 199, "EndOffset": 208, "Attributes": [ { "Type": "STRENGTH", "Score": 0.7696017026901245, "RelationshipScore": 0.9999960660934448, "Id": 6, "BeginOffset": 209, "EndOffset": 216, "Text": "0.2 mgs", "Traits": [] }, { "Type": "DOSAGE", "Score": 0.777644693851471, "RelationshipScore": 0.9999927282333374, "Id": 7, "BeginOffset": 220, "EndOffset": 236, "Text": "1 and 1 / 2 tabs", "Traits": [] }, { "Type": "ROUTE_OR_MODE", "Score": 0.9981689453125, "RelationshipScore": 0.999950647354126, "Id": 8, "BeginOffset": 237, "EndOffset": 239, "Text": "po", "Traits": [] }, { "Type": "FREQUENCY", "Score": 0.99753737449646, "RelationshipScore": 0.9999889135360718, "Id": 9, "BeginOffset": 240, "EndOffset": 243, "Text": "qhs", "Traits": [] } ], "Traits": [], "RxNormConcepts": [ { "Description": "Clonidine Hydrochloride 0.2 MG Oral Tablet", "Code": "884185", "Score": 0.9600071907043457 }, { "Description": "Clonidine Hydrochloride 0.025 MG Oral Tablet", "Code": "892791", "Score": 0.8955953121185303 }, { "Description": "24 HR Clonidine Hydrochloride 0.2 MG Extended Release Oral Tablet", "Code": "885880", "Score": 0.8706559538841248 }, { "Description": "12 HR Clonidine Hydrochloride 0.2 MG Extended Release Oral Tablet", "Code": "1013937", "Score": 0.786146879196167 }, { "Description": "Chlorthalidone 15 MG / Clonidine Hydrochloride 0.2 MG Oral Tablet", "Code": "884198", "Score": 0.601354718208313 } ] } ], "ModelVersion": "0.0.0"}
复制代码
类似的，以下是检测医疗状况时的输出（ICD-10-CM 概念）：
Json
{ "Entities": [ { "Id": 0, "Text": "coronary artery disease", "Category": "MEDICAL_CONDITION", "Type": "DX_NAME", "Score": 0.9933860898017883, "BeginOffset": 90, "EndOffset": 113, "Attributes": [], "Traits": [ { "Name": "DIAGNOSIS", "Score": 0.9682672023773193 } ], "ICD10CMConcepts": [ { "Description": "Atherosclerotic heart disease of native coronary artery without angina pectoris", "Code": "I25.10", "Score": 0.8199513554573059 }, { "Description": "Atherosclerotic heart disease of native coronary artery", "Code": "I25.1", "Score": 0.4950370192527771 }, { "Description": "Old myocardial infarction", "Code": "I25.2", "Score": 0.18753206729888916 }, { "Description": "Atherosclerotic heart disease of native coronary artery with unstable angina pectoris", "Code": "I25.110", "Score": 0.16535982489585876 }, { "Description": "Atherosclerotic heart disease of native coronary artery with unspecified angina pectoris", "Code": "I25.119", "Score": 0.15222692489624023 } ] }, { "Id": 2, "Text": "atrial fibrillation", "Category": "MEDICAL_CONDITION", "Type": "DX_NAME", "Score": 0.9923409223556519, "BeginOffset": 116, "EndOffset": 135, "Attributes": [], "Traits": [ { "Name": "DIAGNOSIS", "Score": 0.9708861708641052 } ], "ICD10CMConcepts": [ { "Description": "Unspecified atrial fibrillation", "Code": "I48.91", "Score": 0.7011875510215759 }, { "Description": "Chronic atrial fibrillation", "Code": "I48.2", "Score": 0.28612759709358215 }, { "Description": "Paroxysmal atrial fibrillation", "Code": "I48.0", "Score": 0.21157972514629364 }, { "Description": "Persistent atrial fibrillation", "Code": "I48.1", "Score": 0.16996538639068604 }, { "Description": "Atrial premature depolarization", "Code": "I49.1", "Score": 0.16715925931930542 } ] }, { "Id": 3, "Text": "hypertension", "Category": "MEDICAL_CONDITION", "Type": "DX_NAME", "Score": 0.9993137121200562, "BeginOffset": 138, "EndOffset": 150, "Attributes": [], "Traits": [ { "Name": "DIAGNOSIS", "Score": 0.9734011888504028 } ], "ICD10CMConcepts": [ { "Description": "Essential (primary) hypertension", "Code": "I10", "Score": 0.6827990412712097 }, { "Description": "Hypertensive heart disease without heart failure", "Code": "I11.9", "Score": 0.09846580773591995 }, { "Description": "Hypertensive heart disease with heart failure", "Code": "I11.0", "Score": 0.09182810038328171 }, { "Description": "Pulmonary hypertension, unspecified", "Code": "I27.20", "Score": 0.0866364985704422 }, { "Description": "Primary pulmonary hypertension", "Code": "I27.0", "Score": 0.07662317156791687 } ] }, { "Id": 4, "Text": "hyperlipidemia", "Category": "MEDICAL_CONDITION", "Type": "DX_NAME", "Score": 0.9998835325241089, "BeginOffset": 153, "EndOffset": 167, "Attributes": [], "Traits": [ { "Name": "DIAGNOSIS", "Score": 0.9702492356300354 } ], "ICD10CMConcepts": [ { "Description": "Hyperlipidemia, unspecified", "Code": "E78.5", "Score": 0.8378056883811951 }, { "Description": "Disorders of lipoprotein metabolism and other lipidemias", "Code": "E78", "Score": 0.20186281204223633 }, { "Description": "Lipid storage disorder, unspecified", "Code": "E75.6", "Score": 0.18514418601989746 }, { "Description": "Pure hyperglyceridemia", "Code": "E78.1", "Score": 0.1438658982515335 }, { "Description": "Other hyperlipidemia", "Code": "E78.49", "Score": 0.13983778655529022 } ] }, { "Id": 5, "Text": "chills", "Category": "MEDICAL_CONDITION", "Type": "DX_NAME", "Score": 0.9989762306213379, "BeginOffset": 211, "EndOffset": 217, "Attributes": [], "Traits": [ { "Name": "SYMPTOM", "Score": 0.9510533213615417 } ], "ICD10CMConcepts": [ { "Description": "Chills (without fever)", "Code": "R68.83", "Score": 0.7460958361625671 }, { "Description": "Fever, unspecified", "Code": "R50.9", "Score": 0.11848161369562149 }, { "Description": "Typhus fever, unspecified", "Code": "A75.9", "Score": 0.07497859001159668 }, { "Description": "Neutropenia, unspecified", "Code": "D70.9", "Score": 0.07332006841897964 }, { "Description": "Lassa fever", "Code": "A96.2", "Score": 0.0721040666103363 } ] }, { "Id": 6, "Text": "nausea", "Category": "MEDICAL_CONDITION", "Type": "DX_NAME", "Score": 0.9993392825126648, "BeginOffset": 220, "EndOffset": 226, "Attributes": [], "Traits": [ { "Name": "SYMPTOM", "Score": 0.9175007939338684 } ], "ICD10CMConcepts": [ { "Description": "Nausea", "Code": "R11.0", "Score": 0.7333012819290161 }, { "Description": "Nausea with vomiting, unspecified", "Code": "R11.2", "Score": 0.20183530449867249 }, { "Description": "Hematemesis", "Code": "K92.0", "Score": 0.1203150525689125 }, { "Description": "Vomiting, unspecified", "Code": "R11.10", "Score": 0.11658868193626404 }, { "Description": "Nausea and vomiting", "Code": "R11", "Score": 0.11535880714654922 } ] }, { "Id": 8, "Text": "flank pain", "Category": "MEDICAL_CONDITION", "Type": "DX_NAME", "Score": 0.9315784573554993, "BeginOffset": 235, "EndOffset": 245, "Attributes": [ { "Type": "ACUITY", "Score": 0.9809532761573792, "RelationshipScore": 0.9999837875366211, "Id": 7, "BeginOffset": 229, "EndOffset": 234, "Text": "acute", "Traits": [] } ], "Traits": [ { "Name": "SYMPTOM", "Score": 0.8182812929153442 } ], "ICD10CMConcepts": [ { "Description": "Unspecified abdominal pain", "Code": "R10.9", "Score": 0.4959934949874878 }, { "Description": "Generalized abdominal pain", "Code": "R10.84", "Score": 0.12332479655742645 }, { "Description": "Lower abdominal pain, unspecified", "Code": "R10.30", "Score": 0.08319114148616791 }, { "Description": "Upper abdominal pain, unspecified", "Code": "R10.10", "Score": 0.08275411278009415 }, { "Description": "Jaw pain", "Code": "R68.84", "Score": 0.07797083258628845 } ] }, { "Id": 10, "Text": "numbness", "Category": "MEDICAL_CONDITION", "Type": "DX_NAME", "Score": 0.9659366011619568, "BeginOffset": 255, "EndOffset": 263, "Attributes": [ { "Type": "SYSTEM_ORGAN_SITE", "Score": 0.9976192116737366, "RelationshipScore": 0.9999089241027832, "Id": 11, "BeginOffset": 271, "EndOffset": 274, "Text": "leg", "Traits": [] } ], "Traits": [ { "Name": "SYMPTOM", "Score": 0.7310190796852112 } ], "ICD10CMConcepts": [ { "Description": "Anesthesia of skin", "Code": "R20.0", "Score": 0.767346203327179 }, { "Description": "Paresthesia of skin", "Code": "R20.2", "Score": 0.13602739572525024 }, { "Description": "Other complications of anesthesia", "Code": "T88.59", "Score": 0.09990577399730682 }, { "Description": "Hypothermia following anesthesia", "Code": "T88.51", "Score": 0.09953102469444275 }, { "Description": "Disorder of the skin and subcutaneous tissue, unspecified", "Code": "L98.9", "Score": 0.08736388385295868 } ] } ], "ModelVersion": "0.0.0"}
复制代码
**现已推出
**您可以通过控制台、AWS 命令行界面 (CLI) 或 AWS 开发工具包使用 Amazon Comprehend Medical。 使用 Comprehend Medical，您只需为实际用量付费。您需要根据每月处理的文本量付费，具体取决于您今后的使用情况。详情请参阅 Comprehend 定价页面中的“Comprehend Medical”部分。本体链接功能现已在提供 Amazon Comprehend Medical 的所有区域推出，具体区域请参阅 AWS 区域表。
新推出的本体链接 API 使用户可以轻松从非结构化临床文本中检测药物和医疗状况，并将它们分别链接到 RxNorm 和 ICD-10-CM 代码。这项新功能可以帮助您节省以高精度处理大量非结构化医学文本所需成本、时间和精力。
– Danilo
本文转载自 AWS 技术博客。
原文链接：https://amazonaws-china.com/cn/blogs/china/new-amazon-comprehend-medical-adds-ontology-linking/
划线
评论
复制
更多内容推荐
从“概念”到“应用”，字节跳动基于 DataLeap 的 DataOps 实践
更多技术交流、求职机会，欢迎关注字节跳动数据平台微信公众号，回复【1】进入官方交流群
2023-10-03
01｜重新出发，让我们学会和 AI 说话
详解OpenAI提供的大语言模型能干什么？带你注册账号，生成调用大语言模型的API Key。
2023-03-20
亚马逊云科技推出基于生成式 AI 的临床文档工具 HealthScribe 预览版
该服务尚处于预览状态，它可以利用语音识别和生成式人工智能来生成临床文档。
「架构实战营」模块三作业 外包学生管理系统架构设计
本文是外包学生管理系统详细架构设计文档，用于指导外包学生管理系统后续的开发、测试和运维。
2022-02-25
如何撰写一份高质量数据分析报告
2022-11-07
语音合成技术的简介与未来发展
语音合成是一种通过计算机技术生成人类可听的语音的技术。它将文本转换为语音，从而实现语音交互。本文将介绍语音合成技术的概念、现状以及未来的发展趋势。
2023-09-15
20｜TTS 与语音合成：让你的机器人拥有声音
TTS与语音合成：让你的机器人拥有声音
2023-04-21
Baklib 产品知识库|为什么说客户体验非常重要？
几十年来，人们一直在寻找使其品牌成功的秘诀，企业和品牌一直想知道如何在竞争中脱颖而出，赢得客户的青睐。
2022-10-25
什么是外链和内链？
什么是外链和内链？我们做SEO的时候，会做一些内链和外链，那么做这些链接有什么用呢？是内链作用比较大还是外链？
2022-06-29
ShareSDK iOS 端如何实现微信分享链接与登录
下载SDK1.1 登录官网
2023-03-27
数智融合，生态链接丨 亚信科技“信伙伴”交流会（成都站）成功举办
“数智融合，生态链接”亚信科技“信伙伴”交流会（成都站）在成都希顿酒店成功举办
2023-04-21
手把手教学小型金融知识图谱构建：量化分析、图数据库 neo4j、图算法、关系预测、命名实体识别、Cypher Cheetsheet 详细教学等
手把手教学小型金融知识图谱构建：量化分析、图数据库neo4j、图算法、关系预测、命名实体识别、Cypher Cheetsheet详细教学等
2023-07-08
10｜AI 连接外部资料库，让 Llama Index 带你阅读一本书
让Llama Index带你阅读一本书
2023-04-04
华为云盘古大模型 for 医学，“良医小慧”让智慧诊疗触手可及
随着科技的飞速发展，人工智能正在成为推动各个行业变革的重要力量。在医疗行业，大模型的应用正逐渐成为一种趋势，为患者提供更加精准、高效、便捷的医疗服务。
2023-09-27
数据建模（一）认识数据模型 Power Pivot
2022-12-30
腾讯 AI Lab 姚建华博士当选 2022 美国医学与生物工程院会士
3月31日记者获悉,美国医学与生物工程院(AIMBE,The American Institute for Medical and Biological Engineering)官网公布了新一届AIMBE成员,以表彰他们在医学与生物工程上取得的卓越成就,腾讯AI Lab AI医疗首席科学家姚建华博士入选。
2022-04-01
圣庭医疗联合创始人谷红仓：高通量基因测序在药物研发和靶向治疗中的应用
高通量基因测序让靶向药、新药的研发更快速，更高效
2022-08-18
42｜大前端：通过一云多端搭建跨 PC/ 移动的平台应用
大前端的出现，可以让数据的存储和数据的获取方式更好地服务于前端的交互和业务的需求。
2022-12-24
详解 UDS CAN 诊断：SecurityAccess Service（SID：0X27）
诊断和通信管理功能单元包含10种服务，本篇博文将详细讲解SecurityAccess Service（SID：0X27）的特性和协议。
2023-01-05
MedicalGPT：基于 LLaMA-13B 的中英医疗问答模型（LoRA）
MedicalGPT：基于LLaMA-13B的中英医疗问答模型（LoRA）
发现更多内容
推荐阅读
谷歌云为医生推出专用生成式 AI 工具，临床信息一键搜索
软件测试|Pytest 必会技巧（三）
2023-10-16
加餐 01｜Text to SQL：自然语言写 SQL 查询
2024-12-18
10｜CLIP：让 AI 绘画模型乖乖听你的话
2023-08-07
概念回顾：负载均衡、四层负载均衡、七层负载均衡
2023-10-25
腾讯云大数据 ES：一文秒懂！使用 Elasticsearch 进行数据分析
2023-10-08
02｜用 LangChain 快速构建基于“易速鲜花”本地知识库的智能问答系统
2023-09-11
电子书
大厂实战PPT下载
换一换 
华为鸿蒙低代码界面的自动化测试实践
王晓燕 | 华为 2012 IDE 实验室专家
立即下载
基于 DDD 思想的应用架构 COLA 在华为服务研发的落地实践
张超 | 华为 服务研发/主任工程师
立即下载
破局 DevOps 瓶颈：借助 AIGC 加速平台工程建设
麦玮嘉 | Seal 首席研发工程师
立即下载
评论