scholarly journals Correlation between Internet Search Query Data and the Health Insurance Review & Assessment Service Data for Seasonality of Plantar Fasciitis

2021 ◽  
Vol 25 (3) ◽  
pp. 126-132
Author(s):  
Seok Min Hwang ◽  
Geum Ho Lee ◽  
Seung Yeol Oh
2017 ◽  
Vol 21 (2) ◽  
pp. 66 ◽  
Author(s):  
Jong-Kil Kim ◽  
Young-Ran Jung ◽  
Kyung-Tae Kim ◽  
Chung-Shik Shin ◽  
Kwang-Bok Lee

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Ying Chen ◽  
Yuzhou Zhang ◽  
Zhiwei Xu ◽  
Xuanzhuo Wang ◽  
Jiahai Lu ◽  
...  

2016 ◽  
Vol 10 (4) ◽  
pp. 314-323 ◽  
Author(s):  
Robert Moss ◽  
Alexander Zarebski ◽  
Peter Dawson ◽  
James M. McCaw

PLoS ONE ◽  
2017 ◽  
Vol 12 (10) ◽  
pp. e0185735 ◽  
Author(s):  
Theodore L. Caputi ◽  
Eric Leas ◽  
Mark Dredze ◽  
Joanna E. Cohen ◽  
John W. Ayers

2011 ◽  
Vol 10 (03) ◽  
pp. 209-224 ◽  
Author(s):  
Barbara Bazzanella ◽  
Heiko Stoermer ◽  
Paolo Bouquet

Searching for information about individual entities such as persons, locations, events, is an important activity in Internet search today, and is in its core a very semantic-oriented task. Several ways for accessing such information exist, but for locating entity-specific information, search engines are the most commonly used approach. In this context, keyword queries are the primary means of retrieving information about a specific entity. We believe that an important first step of performing such a task is to understand what type of entity the user is looking for. We call this process Entity Type Disambiguation. In this paper, we present a Naive Bayesian Model for entity type disambiguation that explores our assumption that an entity type can be inferred from the attributes a user specifies in a search query. The model has been applied to queries provided by a large sample of participants in an experiment performing an entity search task. The beneficial impact of this approach for the development of new search systems is discussed.


2017 ◽  
Vol 9 (1) ◽  
pp. 40-44 ◽  
Author(s):  
Sarah McLean ◽  
Paul Lennon ◽  
Paul Glare

BackgroundA lack of public awareness of palliative care (PC) has been identified as one of the main barriers to appropriate PC access. Internet search query analysis is a novel methodology, which has been effectively used in surveillance of infectious diseases, and can be used to monitor public awareness of health-related topics.ObjectivesWe aimed to demonstrate the utility of internet search query analysis to evaluate changes in public awareness of PC in the USA between 2005 and 2015.MethodsGoogle Trends provides a referenced score for the popularity of a search term, for defined regions over defined time periods. The popularity of the search term ‘palliative care’ was measured monthly between 1/1/2005 and 31/12/2015 in the USA and in the UK.ResultsResults were analysed using independent t-tests and joinpoint analysis. The mean monthly popularity of the search term increased between 2008–2009 (p<0.001), 2011–2012 (p<0.001), 2013–2014 (p=0.004) and 2014–2015 (p=0.002) in the USA. Joinpoint analysis was used to evaluate the monthly percentage change (MPC) in the popularity of the search term. In the USA, the MPC increase was 0.6%/month (p<0.05); in the UK the MPC of 0.05% was non-significant.DiscussionAlthough internet search query surveillance is a novel methodology, it is freely accessible and has significant potential to monitor health-seeking behaviour among the public. PC is rapidly growing in the USA, and the rapidly increasing public awareness of PC as demonstrated in this study, in comparison with the UK, where PC is relatively well established is encouraging in increasingly ensuring appropriate PC access for all.


2020 ◽  
Vol 20 (4) ◽  
pp. 175-181
Author(s):  
Hyun-Soo Kang ◽  
Min-Taek Lim ◽  
Bo-Yeon Kim ◽  
Kyong-Do Han ◽  
Keun-Mi Lee ◽  
...  

Background: The Korean Health Insurance Review and Assessment Service has conducted diabetes medical adequacy evaluation projects since 2010. This study aimed to evaluate the medical adequacy of type 2 diabetes mellitus patients after the assessment project and help establish the direction of future projects.Methods: Using data from the Health Insurance Review & Assessment Service (2010-2015), chi-square tests and t-tests were used to analyze the enforcement rate according to a combination of items for appropriate management methods. Logistic regression and linearity test were performed to assess the relationships among the evaluation group, appropriate test items, and prescription rate.Results: We found that 33.6-39.8% of patients did not undergo any diabetes-related tests. Only about 7% of hemoglobin A1c (HbA1c) tests were performed, and 36% of cases were tested simultaneously with serum lipid profile tests. As age increased, the number of days taken to prescribe diabetes medications also increased.The prescription rate of diabetes drugs for 292 days or more was 61% in patients who had not been tested for adequacy, and the average prescription rate increased as the number of tests increased.Conclusions: In older adults with a high prevalence of diabetes, it is necessary to establish a test rate for proper management of diabetes, including HbA1c, and related test items to increase the average prescription rate.


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