• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种用于头痛诊断的专家系统:计算机化头痛评估工具(CHAT)。

An expert system for headache diagnosis: the Computerized Headache Assessment tool (CHAT).

作者信息

Maizels Morris, Wolfe William J

机构信息

Kaiser Permanente--Family Medicine, Woodland Hills, CA 91365-4084, USA.

出版信息

Headache. 2008 Jan;48(1):72-8. doi: 10.1111/j.1526-4610.2007.00918.x. Epub 2007 Sep 12.

DOI:10.1111/j.1526-4610.2007.00918.x
PMID:17868352
Abstract

BACKGROUND

Migraine is a highly prevalent chronic disorder associated with significant morbidity. Chronic daily headache syndromes, while less common, are less likely to be recognized, and impair quality of life to an even greater extent than episodic migraine. A variety of screening and diagnostic tools for migraine have been proposed and studied. Few investigators have developed and evaluated computerized programs to diagnose headache.

OBJECTIVES

To develop and determine the accuracy and utility of a computerized headache assessment tool (CHAT). CHAT was designed to identify all of the major primary headache disorders, distinguish daily from episodic types, and recognize medication overuse.

METHODS

CHAT was developed using an expert systems approach to headache diagnosis, with initial branch points determined by headache frequency and duration. Appropriate clinical criteria are presented relevant to brief and longer-lasting headaches. CHAT was posted on a web site using Microsoft active server pages and a SQL-server database server. A convenience sample of patients who presented to the adult urgent care department with headache, and patients in a family practice waiting room, were solicited to participate. Those who completed the on-line questionnaire were contacted for a diagnostic interview.

RESULTS

One hundred thirty-five patients completed CHAT and 117 completed a diagnostic interview. CHAT correctly identified 35/35 (100%) patients with episodic migraine and 42/49 (85.7%) of patients with transformed migraine. CHAT also correctly identified 11/11 patients with chronic tension-type headache, 2/2 with episodic tension-type headache, and 1/1 with episodic cluster headache. Medication overuse was correctly recognized in 43/52 (82.7%). The most common misdiagnoses by CHAT were seen in patients with transformed migraine or new daily persistent headache. Fifty patients were referred to their primary care physician and 62 to the headache clinic. Of 29 patients referred to the PCP with a confirmed diagnosis of migraine, 25 made a follow-up appointment, the PCP diagnosed migraine in 19, and initiated migraine-specific therapy or prophylaxis in 17.

CONCLUSION

The described expert system displays high diagnostic accuracy for migraine and other primary headache disorders, including daily headache syndromes and medication overuse. As part of a disease management program, CHAT led to patients receiving appropriate diagnoses and therapy. Limitations of the system include patient willingness to utilize the program, introducing such a process into the culture of medical care, and the difficult distinction of transformed migraine.

摘要

背景

偏头痛是一种高度流行的慢性疾病,伴有显著的发病率。慢性每日头痛综合征虽不太常见,但较难识别,且比发作性偏头痛对生活质量的损害更大。已提出并研究了多种用于偏头痛的筛查和诊断工具。很少有研究者开发并评估用于诊断头痛的计算机程序。

目的

开发并确定一种计算机化头痛评估工具(CHAT)的准确性和实用性。CHAT旨在识别所有主要的原发性头痛疾病,区分每日发作型和发作性类型,并识别药物过度使用情况。

方法

CHAT采用专家系统方法进行头痛诊断,初始分支点由头痛频率和持续时间确定。给出了与短暂性和持续性头痛相关的适当临床标准。CHAT使用微软活动服务器页面和SQL服务器数据库服务器发布在网站上。邀请了到成人急诊部就诊的头痛患者以及家庭医疗候诊室的患者作为便利样本参与。完成在线问卷的患者被联系进行诊断访谈。

结果

135名患者完成了CHAT,117名完成了诊断访谈。CHAT正确识别出35/35(100%)例发作性偏头痛患者和42/49(85.7%)例转化型偏头痛患者。CHAT还正确识别出11/11例慢性紧张型头痛患者、2/2例发作性紧张型头痛患者和1/1例发作性丛集性头痛患者。药物过度使用在43/52(82.7%)的病例中被正确识别。CHAT最常见的误诊见于转化型偏头痛或新的每日持续性头痛患者。50名患者被转诊至其初级保健医生处,62名被转诊至头痛诊所。在被转诊至初级保健医生处且确诊为偏头痛的29名患者中,25名进行了随访预约,初级保健医生诊断出19例偏头痛,并对17例启动了偏头痛特异性治疗或预防措施。

结论

所描述的专家系统对偏头痛和其他原发性头痛疾病,包括每日头痛综合征和药物过度使用,显示出较高的诊断准确性。作为疾病管理计划 的一部分,CHAT使患者得到了适当的诊断和治疗。该系统的局限性包括患者使用该程序的意愿、将这样一个过程引入医疗文化以及转化型偏头痛的鉴别困难。

相似文献

1
An expert system for headache diagnosis: the Computerized Headache Assessment tool (CHAT).一种用于头痛诊断的专家系统:计算机化头痛评估工具(CHAT)。
Headache. 2008 Jan;48(1):72-8. doi: 10.1111/j.1526-4610.2007.00918.x. Epub 2007 Sep 12.
2
Results of screening with the brief headache screen compared with a modified IDMigraine.使用简短头痛筛查与改良版ID偏头痛筛查的结果比较。
Headache. 2008 Mar;48(3):385-94. doi: 10.1111/j.1526-4610.2007.00946.x. Epub 2007 Nov 20.
3
Application of the ICHD-II criteria to the diagnosis of primary chronic headaches via a computerized structured record.通过计算机结构化记录应用国际头痛疾病分类第二版(ICHD-II)标准诊断原发性慢性头痛。
Headache. 2007 Jan;47(1):38-44. doi: 10.1111/j.1526-4610.2007.00651.x.
4
Economic burden of transformed migraine: results from the American Migraine Prevalence and Prevention (AMPP) Study.转化型偏头痛的经济负担:美国偏头痛患病率与预防(AMPP)研究结果
Headache. 2009 Apr;49(4):498-508. doi: 10.1111/j.1526-4610.2009.01369.x. Epub 2009 Feb 25.
5
Assume it is migraine unless proven otherwise.除非另有证明,否则假定为偏头痛。
Postgrad Med. 2005 May;117(5 Suppl):7-16. doi: 10.3810/pgm.05.2005.suppl41.208.
6
Prevalence and diagnosis of migraine in patients consulting their physician with a complaint of headache: data from the Landmark Study.因头痛症状就医的患者中偏头痛的患病率及诊断:来自里程碑研究的数据。
Headache. 2004 Oct;44(9):856-64. doi: 10.1111/j.1526-4610.2004.04167.x.
7
[The validity of the classification criteria of the International Headache Society for migraine, episodic tension headache and chronic tension headache].[国际头痛协会偏头痛、发作性紧张性头痛和慢性紧张性头痛分类标准的有效性]
Neurologia. 1999 Jun-Jul;14(6):283-8.
8
Chronic daily headache: correlation between the 2004 and the 1988 International Headache Society diagnostic criteria.慢性每日头痛:2004年与1988年国际头痛协会诊断标准之间的相关性
Headache. 2004 Jul-Aug;44(7):684-91. doi: 10.1111/j.1526-4610.2004.04128.x.
9
The classification of chronic daily headache in adolescents--a comparison between the second edition of the international classification of headache disorders and alternative diagnostic criteria.青少年慢性每日头痛的分类——头痛疾病国际分类第二版与替代诊断标准的比较
Headache. 2005 May;45(5):582-9. doi: 10.1111/j.1526-4610.2005.05112.x.
10
The Sinus, Allergy and Migraine Study (SAMS).鼻窦、过敏与偏头痛研究(SAMS)。
Headache. 2007 Feb;47(2):213-24. doi: 10.1111/j.1526-4610.2006.00688.x.

引用本文的文献

1
Diagnostic Prediction Models for Primary Care, Based on AI and Electronic Health Records: Systematic Review.基于人工智能和电子健康记录的基层医疗诊断预测模型:系统评价
JMIR Med Inform. 2025 Aug 22;13:e62862. doi: 10.2196/62862.
2
Clinical decision support system using hierarchical fuzzy diagnosis model for migraine and tension-type headache based on International Classification of Headache Disorders, 3rd edition.基于《国际头痛疾病分类》第三版,使用分层模糊诊断模型的偏头痛和紧张型头痛临床决策支持系统
Front Neurol. 2024 Sep 10;15:1444197. doi: 10.3389/fneur.2024.1444197. eCollection 2024.
3
Validation of a Digital Headache Calendar at a Tertiary Referral Center.
三级转诊中心数字头痛日历的验证
Diagnostics (Basel). 2023 Dec 22;14(1):21. doi: 10.3390/diagnostics14010021.
4
Feasibility and Usability of a Mobile App-Based Interactive Care Plan for Migraine in a Community Neurology Practice: Development and Pilot Implementation Study.社区神经科实践中基于移动应用程序的偏头痛交互式护理计划的可行性和可用性:开发与试点实施研究
JMIR Form Res. 2023 Oct 5;7:e48372. doi: 10.2196/48372.
5
Computerized migraine diagnostic tools: a systematic review.计算机化偏头痛诊断工具:一项系统评价。
Ther Adv Chronic Dis. 2022 Jan 24;13:20406223211065235. doi: 10.1177/20406223211065235. eCollection 2022.
6
Application of Artificial Intelligence in Community-Based Primary Health Care: Systematic Scoping Review and Critical Appraisal.人工智能在社区基层医疗中的应用:系统范围综述和批判性评估。
J Med Internet Res. 2021 Sep 3;23(9):e29839. doi: 10.2196/29839.
7
A brief diagnostic screen for cluster headache: Creation and initial validation of the Erwin Test for Cluster Headache.丛集性头痛的简要诊断筛查:丛集性头痛 Erwin 测试的创建和初步验证。
Cephalalgia. 2021 Nov;41(13):1298-1309. doi: 10.1177/03331024211018138. Epub 2021 Jun 20.
8
Machine learning approach to predict medication overuse in migraine patients.预测偏头痛患者药物过度使用的机器学习方法。
Comput Struct Biotechnol J. 2020 Jun 12;18:1487-1496. doi: 10.1016/j.csbj.2020.06.006. eCollection 2020.
9
Validation of an algorithm for automated classification of migraine and tension-type headache attacks in an electronic headache diary.验证一种用于电子头痛日记中偏头痛和紧张型头痛发作自动分类的算法。
J Headache Pain. 2020 Jun 12;21(1):75. doi: 10.1186/s10194-020-01139-w.
10
The diagnostic accuracy of headache measurement instruments: A systematic review and meta-analysis focusing on headaches associated with musculoskeletal symptoms.头痛测量仪器的诊断准确性:一项系统评价和荟萃分析,重点关注与肌肉骨骼症状相关的头痛。
Cephalalgia. 2019 Sep;39(10):1313-1332. doi: 10.1177/0333102419840777. Epub 2019 Apr 18.