山东大学耳鼻喉眼学报 ›› 2019, Vol. 33 ›› Issue (3): 88-94.doi: 10.6040/j.issn.1673-3770.1.2019.023

• 论著 • 上一篇    下一篇

人工智能技术在辅助耳鼻咽喉科医师了解过敏性鼻炎患者需求中的应用

邱昌余1,周俊2,庄德恩2,杨晴1,陆美萍1,3,程雷1,3,4()   

  1. 1. 南京医科大学第一附属医院 江苏省人民医院耳鼻咽喉科,江苏 南京 210029
    2. 杭州费尔斯通科技有限公司,浙江 杭州310000
    3. 南京医科大学第一附属医院 江苏省人民医院过敏诊疗中心,江苏 南京 210029
    4. 南京医科大学国际变态反应研究中心,江苏 南京 210029
  • 收稿日期:2019-04-18 修回日期:2019-05-18 出版日期:2019-05-20 发布日期:2019-08-07
  • 通讯作者: 程雷 E-mail:chenglei@jsph.org.cn

Artificial intelligence technology application in disclosing allergic rhinitis patientsneeds to otolaryngologists

Changyu QIU1,Jun ZHOU2,De′en ZHUANG2,Qing YANG1,Meiping LU1,3,Lei CHENG1,3,4()   

  1. 1. Department of Otorhinolaryngology, The First Affiliated Hospital, Nanjing Medical University, Nanjing 210029, Jiangsu, China
    2. Hangzhou Firestone Technology Co. , Hangzhou 310000, Zhejiang, China
    3. Clinical Allergy Center, The First Affiliated Hospital, Nanjing Medical University, Nanjing 210029, Jiangsu, China
    4. International Centre for Allergy Research, Nanjing Medical University, Nanjing 210029, Jiangsu, China
  • Received:2019-04-18 Revised:2019-05-18 Online:2019-05-20 Published:2019-08-07
  • Contact: Lei CHENG E-mail:chenglei@jsph.org.cn

摘要: 目的

利用人工智能技术分析近年中国互联网用户对于过敏性鼻炎(allergic rhinitis,AR)的网上检索信息,以帮助耳鼻咽喉科医师更好地了解AR患者的实际需求,从而在临床实践中更加合理地对患者进行管理。

方法

AR“热搜”使用了百度指数分析百度平台“过敏性鼻炎” (或“变应性鼻炎”,下同)搜索指数每日平均值和峰值走势。AR“热问”采用人工智能技术从“百度知道”和“360问答”的平台对指定关键词“过敏性鼻炎”下的问题文本进行信息自动抽取和归类。在此基础上采用基于Word2Vec词语相似度计算模型与标签别名语义相似度匹配的融合算法,将同类问题进行文本语义相似度合并处理。此方法分析AR的提问量、AR问题的浏览量和AR问题的诉求分布及症状分布数据。

结果

“过敏性鼻炎”在百度平台搜索指数每日平均值和峰值均呈逐年上升趋势。关于AR提问最多的3类问题为AR的最佳治疗方法、AR怎么样处理以及AR的注意事项。浏览量最高的3类问题为AR的最佳治疗方法、AR的治疗偏方及AR怎么样处理。问题中被提及最多的前3位药物是中药、抗组胺药和盐水洗鼻,而64%的提问者对AR药物治疗一无所知。

结论

人工智能技术的应用可以帮助耳鼻咽喉科医师更好了解患者的真实需求并辅助判断AR患病率是否升高。本研究显示,中国AR患者最关注疾病的治疗和处理,同时期望通过日常生活的管理来改善症状,但是对于AR正规的治疗药物认识不足,偏好中药和偏方;患者不了解AR的疾病特征,对于过敏原以及过敏原回避的概念也认识不足。提示医务工作者需要在临床诊疗中更好地进行患者教育并提升规范化治疗。

关键词: 过敏性鼻炎, 互联网, 人工智能, 用户健康信息, 满足欲望行为

Abstract: Objective

To help otolaryngologists better understand the real needs of patients with allergic rhinitis (AR) to manage patients more rationally in clinical practice, we used artificial intelligence technology to analyze the online search information of AR in Chinese internet users in recent years.

Methods

AR ′hot research′ used the Baidu Index to analyze the daily average and peak trend of the Baidu platform ′allergic rhinitis′ search index. AR ′hot question′ used artificial intelligence technology to automatically extract and categorize the questions under the specified keyword ′allergic rhinitis′ from ′Badu Know′ and ′360 Question and Answer′. On this basis, a fusion algorithm based on Word2Vec model and semantic similarity matching is applied to merge similar questions. Then we analyzed the number of AR questions, the pageviews of AR questions, the distribution of appeals and symptom distribution data for AR questions.

Results

The search index daily average and peak values of ′allergic rhinitis′ in the Baidu platform were increasing annually. The three most frequently viewed answers to questions were the best treatment for AR, ruminant of AR, and means of coping with AR. The top three drugs mentioned in the questions were traditional Chinese medicine, antihistamines and nasal irrigation, while 64% of respondents knew nothing about AR drug treatment.

Conclusion

The application of artificial intelligence can help otolaryngologists better understand the real needs of patients and assist determining if the prevalence of AR is elevated. This study showed that Chinese AR patients were most concerned about AR treatment and expected that their symptoms could be improved through daily life management. However, their knowledge of AR regular treatment drugs was insufficient and they preferred traditional Chinese medicine and remedies. Besides, their awareness of the characteristics of AR and the concept of allergen or allergen avoidance were not enough. It was suggested that healthcare providers need to better educate patients and improve standardized treatment in clinical diagnosis and treatment.

Key words: Allergic rhinitis, Internet, Artificial intelligence, Consumer health information, Satisfying desire behavior

中图分类号: 

  • R765.4

图1

2011~2018年百度平台过敏性鼻炎搜索指数每日平均值走势"

图2

2011~2018年百度平台过敏性鼻炎搜索指数峰值走势"

表1

“过敏性鼻炎”为关键词的患者提问量前10位"

提问量

前10位

提问次数问题
1524过敏性鼻炎的最佳治疗方法
2191过敏性鼻炎怎么样处理好(吃什么药/喷剂/打针/盐水洗鼻…)
3127过敏性鼻炎的注意事项(饮食/运动/检查/游泳…)
498过敏性鼻炎是如何形成的
582过敏性鼻炎的危害(鼻癌/发烧/鼻咽癌/咳嗽/鼻息肉…)
679怎么根治过敏性鼻炎
754过敏性鼻炎有什么好的中医治疗方法(中药/按摩/艾灸)
851过敏性鼻炎的治疗偏方
950过敏性鼻炎有什么非药物治疗方法
1047如何判断是不是过敏性鼻炎

表2

“过敏性鼻炎”为关键词的患者浏览量前10位"

浏览量

前10位

浏览量问题
1787 717过敏性鼻炎的最佳治疗方法
2574 015过敏性鼻炎的治疗偏方
3330 349过敏性鼻炎怎么样处理好(吃什么药/喷剂/打针/盐水洗鼻…)?
4113 457过敏性鼻炎的注意事项(饮食/运动/检查/游泳…)
5110 002怎么根治过敏性鼻炎?
6106 698过敏性鼻炎有什么好的中医治疗方法(中药/按摩/艾灸)?
799 725过敏性鼻炎是如何形成的?
876 297鼻炎引起头痛?
975 726过敏性鼻炎的危害(鼻癌/发烧/鼻咽癌/咳嗽/鼻息肉…)?
1062 663吃什么东西/水果/食物有助于治疗过敏性鼻炎?

图3

过敏性鼻炎患者的问题中提及的治疗药物(n=1 518)"

图4

过敏性鼻炎患者最担忧的关于疾病负担问题(n=117)"

表3

关于过敏性鼻炎注意事项的提问"

注意事项提问次数总浏览量

食物方面有没有禁忌,

吃什么对过敏性鼻炎好

74102 751
能不能吹空调514 994
如何预防2214 221
有什么要注意的539 779
盖什么被子好67 376
适合什么运动46 904
能不能游泳64 325
能不能进行其他治疗62 270
花费21 158
能不能抽烟5947
能不能饲养宠物3808

图5

过敏性鼻炎患者症状分布情况"

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