Using Data Mining and Time Series to Investigate ME and CFS Naming Preferences

IF 1.1 4区 医学 Q3 REHABILITATION Journal of Disability Policy Studies Pub Date : 2023-02-24 DOI:10.1177/10442073231154027
Shaun Bhatia, L. Jason
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Abstract

There have been numerous iterations of naming convention specified for Myalgic Encephalomyelitis (ME) and Chronic Fatigue Syndrome (CFS). As health care turns to “big data” analytics to gain insights, the Google Trends database was mined to ascertain worldwide trends of public interest in several ME- and CFS-related search categories between 2004 and 2019. Time series analysis revealed that though “Chronic Fatigue Syndrome” remains the predominant search category in the ME and CFS field, the interest index declined at a rate of 2.77 per month during the 15-year study period. In the same time period, the interest index in “ME/CFS Hybrid” terms increased at a rate of 3.20 per month. Potential causal mechanisms for these trends and implications for patient sentiment analysis are discussed.
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使用数据挖掘和时间序列研究ME和CFS命名偏好
针对肌痛性脑脊髓炎(ME)和慢性疲劳综合征(CFS),已经有过多次命名惯例的迭代。随着医疗保健转向“大数据”分析以获得见解,谷歌趋势数据库被挖掘出来,以确定2004年至2019年间公众对几个脑脊髓炎和慢性疲劳综合征相关搜索类别感兴趣的全球趋势。时间序列分析显示,尽管“慢性疲劳综合症”仍然是脑脊髓炎和慢性疲劳综合征领域的主要搜索类别,但在15年的研究期间,兴趣指数以每月2.77的速度下降。在同一时期,以“中小企业/粮安委混合”计算的利息指数以每月3.20的速度增长。讨论了这些趋势的潜在因果机制以及对患者情绪分析的影响。
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来源期刊
CiteScore
3.20
自引率
0.00%
发文量
25
期刊介绍: The Journal of Disability Policy Studies addresses compelling, variable issues in ethics, policy, and law related to individuals with disabilities. A major focus is quantitative and qualitative policy research. Articles have implications in fields such as education, law, sociology, public health, family studies, medicine, social work, and public administration. Occasional special series discuss current problems or areas needing more in-depth research, for example, disability and aging, policy concerning families of children with disabilities, oppression and disability, school violence policies and interventions, and systems change in supporting individuals with disabilities.
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