chatgpt在互联网搜索查询中生成的腹泻同义词与韩国腹泻相关症状急诊就诊之间的时间关联:探索性研究

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Jinsoo Kim, Ansun Jeong, Juseong Jin, Sangjun Lee, Do Kyoon Yoon, Soyeoun Kim
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引用次数: 0

摘要

背景:腹泻是胃肠道感染的常见症状,可导致严重的并发症,是急诊科(ED)就诊的主要原因。目的:本研究探讨腹泻及其同义词的网络搜索查询与腹泻相关症状的急诊科就诊之间的时间关联。方法:我们使用了2017年1月至2021年12月来自国家应急部门信息系统(NEDIS)和韩国领先的搜索引擎NAVER (NAVER Corporation)的数据。在使用ChatGPT识别腹泻同义词后,我们比较了腹泻的相对搜索量(rsv)的每周趋势,包括其同义词和每周ED访问量。采用Pearson相关分析和Granger因果检验评价RSVs与ED就诊的关系。我们开发了一个带有外生变量的自回归综合移动平均(ARIMAX)模型来进一步预测这些关联。该研究还调查了搜索行为和ED访问的年龄分布。结果:腹泻及其同义词的每周RSV与腹泻相关症状的每周ED就诊之间存在显著相关性(范围为0.14 ~ 0.51,p)。结论:本研究表明腹泻同义词的每周RSV与腹泻相关症状的每周ED就诊相关。通过覆盖全国范围,本研究拓宽了使用ED数据进行综合征监测的现有方法,并为临床医生提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Temporal Association Between ChatGPT-Generated Diarrhea Synonyms in Internet Search Queries and Emergency Department Visits for Diarrhea-Related Symptoms in South Korea: Exploratory Study.

Background: Diarrhea, a common symptom of gastrointestinal infections, can lead to severe complications and is a major cause of emergency department (ED) visits.

Objective: This study explored the temporal association between internet search queries for diarrhea and its synonyms and ED visits for diarrhea-related symptoms.

Methods: We used data from the National Emergency Department Information System (NEDIS) and NAVER (Naver Corporation), South Korea's leading search engine, from January 2017 to December 2021. After identifying diarrhea synonyms using ChatGPT, we compared weekly trends in relative search volumes (RSVs) for diarrhea, including its synonyms and weekly ED visits. Pearson correlation analysis and Granger causality tests were used to evaluate the relationship between RSVs and ED visits. We developed an Autoregressive Integrated Moving Average with Exogenous Variables (ARIMAX) model to further predict these associations. This study also examined the age-based distribution of search behaviors and ED visits.

Results: A significant correlation was observed between the weekly RSV for diarrhea and its synonyms and weekly ED visits for diarrhea-related symptoms (ranging from 0.14 to 0.51, P<.05). Weekly RSVs for diarrhea synonyms, such as "upset stomach," "watery diarrhea," and "acute enteritis," showed stronger correlations with weekly ED visits than weekly RSVs for the general term "diarrhea" (ranging from 0.20 to 0.41, P<.05). This may be because these synonyms better reflect layperson terminology. Notably, weekly RSV for "upset stomach" was significantly correlated with weekly ED visits for diarrhea and acute diarrhea at 1 and 2 weeks before the visit (P<.05). An ARIMAX model was developed to predict weekly ED visits based on weekly RSVs for diarrhea synonyms with lagged effects to capture their temporal influence. The age group of <50 years showed the highest activity in both web-based searches and ED visits for diarrhea-related symptoms.

Conclusions: This study demonstrates that weekly RSVs for diarrhea synonyms are associated with weekly ED visits for diarrhea-related symptoms. By encompassing a nationwide scope, this study broadens the existing methodology for syndromic surveillance using ED data and provides valuable insights for clinicians.

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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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