Mining of Medical Trends Using Social Networks

Author(s):  
Shruti Kohli ◽  
Sonia Saini

Recent work in machine learning and natural language processing has studied the content of health related information in tweets and demonstrated the potential for extracting useful public health information from their aggregation. Social intelligence derived from health content has become of significant importance for various applications, including post-marketing drug surveillance, competitive intelligence, medicine reviews and to assess health-related opinions and sentiments. Further, the quantity of medical information in the media such as tweets on Twitter, Facebook or medical blogs is growing at an exponential rate. Medical data such as health records, drug data, etc. has become major candidates for Big Data analysis and thus exploring this content has become a necessity for organizations. However, the volume, velocity, variety, and quality of online health information present challenges, necessitating enhanced facilitation mechanisms for medical social computing. The objective of this chapter is to discuss the possibility of mining medical trends using Social Networks.

2019 ◽  
pp. 786-804
Author(s):  
Shruti Kohli ◽  
Sonia Saini

Recent work in machine learning and natural language processing has studied the content of health related information in tweets and demonstrated the potential for extracting useful public health information from their aggregation. Social intelligence derived from health content has become of significant importance for various applications, including post-marketing drug surveillance, competitive intelligence, medicine reviews and to assess health-related opinions and sentiments. Further, the quantity of medical information in the media such as tweets on Twitter, Facebook or medical blogs is growing at an exponential rate. Medical data such as health records, drug data, etc. has become major candidates for Big Data analysis and thus exploring this content has become a necessity for organizations. However, the volume, velocity, variety, and quality of online health information present challenges, necessitating enhanced facilitation mechanisms for medical social computing. The objective of this chapter is to discuss the possibility of mining medical trends using Social Networks.


2020 ◽  
Vol 13 (Suppl_1) ◽  
Author(s):  
Vishak Kumar ◽  
Mohammed Abualenain ◽  
Andrew D Choi

Objective: As the internet is a leading destination for health information for patients, there is a need for this information to be accurate and easy to understand. In this study, we assessed the quality and readability of online health related information for myocardial infarction (MI) directed towards patients. Methods: Websites were collected from 3 search engines (Google, Yahoo! and Bing) using the search term “Heart Attack” on a newly installed Mozilla Firefox browser. The first 30 websites from each engine were selected and those belonging to advertisements, new articles and physician oriented sites were excluded. The resulting sites were assessed for quality using the DISCERN instrument via 2 physician investigators knowledgeable in MI and blinded to each other’s results; following this, the results were discussed amidst the team to agree on a coalesced score for each website. Health On the Net (HONcode) was also used as an added measure to assess quality. Readability was assessed using the Flesch-Kincaid Readability Ease (FLRE) and the Flesch-Kincaid Grade level (FLGL) tool. Results: Overall, 24 websites were assessed. The average overall quality for DISCERN was 2.58 out of 5 with a median of 2.5 while the average total DISCERN score was 37.75 out of 80; the highest total quality among them being 61 out of 80. Only 29.17% (7 of 24) of the websites were HONcode certified. The average FLRE was 59.07 out of 100, while the average FLGL was 7.28 with the lowest grade level being 5.20. Conclusion: Patient health related information, on average, were of lower quality, while those higher quality websites were deemed less readable and needed a higher level of education to understand. The average reading grade level was that of the 7 th grade which is lower than what the average American reads at (8 th grade). The highest quality website based on total DISCERN score was from Wikipedia, however FLRE and FLGL tell us it was also harder to comprehend for the average American. Going forward there are important opportunities to improve the quality of online health related information for MI, in order to remain a trusted source of medical information for patients.


2013 ◽  
Vol 411-414 ◽  
pp. 110-114 ◽  
Author(s):  
Dan Dumbrell ◽  
Robert Steele

Traditional forms of health information dissemination have previously involved a few key organizations originating health-related information and disseminating this to clinicians and the community. This information was typically disseminated via private, formalized and non-digital interactions between health information sources (HIS) and clinicians and consumers. With the introduction of the Internet, Web-based health information dissemination led to some changes with greater availability of online health information. However the recent adoption and uptake of social media has led to many more parties, both organizations of varying types, and individuals, participating in public health information dissemination; and this has also led to new forms of sharing health-related information, particularly involving a greater role for individuals. In this paper we introduce empirical findings in relation to how organizations and individuals are now using social media for sharing health information, and from this suggest themes to describe the changes from traditional to contemporary health information dissemination, as well as the new emerging roles and forms of interaction for health information dissemination.


2010 ◽  
Vol 92 (8) ◽  
pp. 1-3 ◽  
Author(s):  
TD Reid ◽  
C Beaton ◽  
IL Davies ◽  
D Arnold ◽  
JBM Ward ◽  
...  

Worldwide internet access is increasing exponentially. The UK Government Office for National Statistics reported that between 2002 and 2009 the proportion of UK households with internet access increased from 46% to 70%. Between 2007 and 2009 the proportion of UK adults using the internet to access health information rose from 27% to 42%. Similar situations exist in Continental Europe and the USA, where 52% of internet users and 61% of adults respectively search online for medical information. In 2003 it was estimated that 4.5% of all internet searches globally were for health related information. Moreover, patients now frequently choose to seek health information online. Indeed Hesse et al reported that almost one in two patients search the internet before consulting a physician.


2018 ◽  
Vol 91 (1) ◽  
pp. 56-59
Author(s):  
Kocsis Loránd ◽  
Szabó Mónika

Abstract The internet is the most popular information source in our digital world. Studies confirm that numerous people are using the internet to look up health-related information. There is no information about this trend among the Transylvanian Hungarian population. Our purpose was to assess the role of the internet in answering health-related problems for young Hungarian Transylvanian people, and its impact. The participants (N=351) completed an online questionnaire with 28 items, which was available on Facebook, on the first page indicating their consent to a voluntary and anonymous survey. Our target was the generation below the age of 45. Descriptive, then comparative analysis was performed, based on gender and region of origin. 95.3% of the participants used the internet for finding health-related information, diagnosis, treatment or diet, without significant difference between subgroups, 70% at least once a month. Only 3.3% were instructed by their physician about the websites that provide health information, while 90% would require it. At least 64% of the respondents makes self-diagnosis at least sometimes, women more often, and nearly 25% frequently or always check the doctor’s opinion and/or the recommended treatment online. 40% of cases consider that their self-diagnosis was often the same as the physician’s final diagnosis, but only 33,2% agreed totally with their doctor. 47,4% of them were scared and/or became worried because of the information from the internet, especially women. Based on the above, it is clear that online health information overtakes the traditional doctor-centered health information and makes it necessary for us to change our perspective of digital healthcare.


2019 ◽  
Author(s):  
Yaobin Yin ◽  
Jianguang Ji ◽  
Peng Lu ◽  
Wenyao Zhong ◽  
Liying Sun ◽  
...  

BACKGROUND With online health information becoming increasingly popular among patients and their family members, concerns have been raised about the accuracy from the websites. OBJECTIVE We aimed to evaluate the overall quality of the online information about scaphoid fracture obtained from Chinese websites using the local search engines. METHODS We conducted an online search using the keyword “scaphoid fracture” from the top 5 search engines in China, i.e. Baidu, Shenma, Haosou, Sougou and Bing, and gathered the top ranked websites, which included a total of 120 websites. Among them, 81 websites were kept for further analyses by removing duplicated and unrelated one as well as websites requiring payment. These websites were classified into four categories, including forum/social networks, commercials, academics and physician’s personals. Health information evaluation tool DISCERN and Scaphoid Fracture Specific Content Score (SFSCS) were used to assess the quality of the websites. RESULTS Among the 81 Chinese websites that we studied, commercial websites were the most common one accounting more than half of all websites. The mean DISCERN score of the 81 websites was 25.56 and no website had a score A (ranging from 64 to 80).The mean SFSCS score was 10.04 and no website had a score A (range between 24 and 30). In addition, DISCERN and SFSCS scores from academic and physician’s websites were significantly higher than those from the forum/social networks and commercials. CONCLUSIONS The overall quality of health information obtained from Chinese websites about scaphoid fracture was very low, suggesting that patients and their family members should be aware such deficiency and pay special attentions for the medical information obtained by using the current search engines in China.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chiao-Chieh Chen ◽  
Yu-Ping Chiu

PurposeSocial media have become famous platform to search and share the COVID-19-related information. The objective of this research is to bridge the gap by proposing the effects of network cluster and transmitter activity on information sharing process.Design/methodology/approachData were collected by using Facebook application, which was available for 14 days (May 1–14) in 2020. These data were analyzed to determine the influence of the network cluster and transmitter activity.FindingsThe results showed that network cluster is positively related to transmitter activity on social media. In addition, transmitter activity partially mediated the effect of network cluster on the extent of information liked and shared. That is, transmitter activity can affect COVID-19-related information sharing on Facebook, and the activity effect is plausible and should become stronger as social network become denser.Originality/valueThis study has contributed to the knowledge of health information sharing in social media and has generated new opportunities for research into the role of network cluster. As social media is firmly entrenched in society, researches that improve the experience or quality for users is potentially impactful.


Author(s):  
Rakhi Chowdhury ◽  
Leena Kumari ◽  
Subhamay Panda

Health information system deals with any system that helps in capturing, storing, transmitting, and managing health-related information of an individual or to demonstrate the activities or organizations working within health-care sector. In the developing countries, maternal and child health is gaining concern due to increasing cases of morbidity and mortality. The disparities among the maternal, infant, and child health are a growing concern in India and are governed by various determinants such as socioeconomic status, literacy, quality of health care, discrimination, and biological and genetic factors. Accurate and reliable health information and data are the basis for decision-making across the health-care sector and are crucial for the development and implementation of health system policy by the policy-makers. Strict monitoring and evaluation of the present program design and its implementation is required at the microlevel to effectively utilize the resources for the improvement of maternal and child health. Our present article focuses on evaluating the coverage gap at the different levels for the provision of health-care facilities to maternal, neonatal, and child health, immunization, and treatment of poor children. Big data plays a major role in providing sound and reliable health-related information and also help in managing and recording structured and unstructured data. More concrete plans are required further to reduce the inequalities in health-care interventions for providing better maternal and child health-care services in our nation.


10.2196/16148 ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. e16148
Author(s):  
Antonia Barke ◽  
Bettina K Doering

Background People often search the internet to obtain health-related information not only for themselves but also for family members and, in particular, their children. However, for a minority of parents, such searches may become excessive and distressing. Little is known about excessive web-based searching by parents for information regarding their children’s health. Objective This study aimed to develop and validate an instrument designed to assess parents' web-based health information searching behavior, the Children’s Health Internet Research, Parental Inventory (CHIRPI). Methods A pilot survey was used to establish the instrument (21 items). CHIRPI was validated online in a second sample (372/384, 96.9% mothers; mean age 32.7 years, SD 5.8). Item analyses, an exploratory factor analysis (EFA), and correlations with parents’ perception of their children’s health-related vulnerability (Child Vulnerability Scale, CVS), parental health anxiety (modified short Health Anxiety Inventory, mSHAI), and parental cyberchondria (Cyberchondria Severity Scale, CSS-15) were calculated. A subset of participants (n=73) provided retest data after 4 weeks. CHIRPI scores (total scores and subscale scores) of parents with a chronically ill child and parents who perceived their child to be vulnerable (CVS+; CVS>10) were compared with 2×2 analyses of variances (ANOVAs) with the factors Child’s Health Status (chronically ill vs healthy) and perceived vulnerability (CVS+ vs CVS−). Results CHIRPI’s internal consistency was standardized alpha=.89. The EFA identified three subscales: Symptom Focus (standardized alpha=.87), Implementing Advice (standardized alpha=.74) and Distress (standardized alpha=.89). The retest reliability of CHIRPI was measured as rtt=0.78. CHIRPI correlated strongly with CSS-15 (r=0.66) and mSHAI (r=0.39). The ANOVAs comparing the CHIRPI total score and the subscale scores for parents having a chronically ill child and parents perceiving their child as vulnerable revealed the main effects for perceiving one’s child as vulnerable but not for having a chronically ill child. No interactions were found. This pattern was observed for the CHIRPI total score (η2=0.053) and each subscale (Symptom Focus η2=0.012; Distress η2=0.113; and Implementing Advice η2=0.018). Conclusions The psychometric properties of CHIRPI are excellent. Correlations with mSHAI and CSS-15 indicate its validity. CHIRPI appears to be differentially sensitive to excessive searches owing to parents perceiving their child’s health to be vulnerable rather than to higher informational needs of parents with chronically ill children. Therefore, it may help to identify parents who search excessively for web-based health information. CHIRPI (and, in particular, the Distress subscale) seems to capture a pattern of factors related to anxious health-related cognitions, emotions, and behaviors of parents, which is also applied to their children.


2021 ◽  
Author(s):  
Calvin Chan ◽  
Viknesh Sounderajah ◽  
Elisabeth Daniels ◽  
Amish Acharya ◽  
Jonathan Clarke ◽  
...  

BACKGROUND Recent emergency authorisation and rollout of COVID-19 vaccines by regulatory bodies has generated global attention. As the most popular video-sharing platform globally, YouTube is a potent medium for dissemination of key public health information. Understanding the nature of available content regarding COVID-19 vaccination on this widely used platform is of substantial public health interest. OBJECTIVE To evaluate the reliability and quality of information of YouTube videos regarding COVID-19 vaccination. METHODS For this cross-sectional study, the phrases ‘coronavirus vaccine’ and ‘COVID-19 vaccine’ were searched on the UK version of YouTube on December 10, 2020. The 200 most-viewed videos of each search were extracted and screened for relevance and English language. Video content and characteristics were extracted and independently rated against Health on the Net Foundation Code of Conduct (HONCode) and DISCERN quality criteria for consumer health information by two authors. RESULTS Forty-eight videos, with a combined total view count of 30,100,561, were included in the analysis. Topics addressed comprised: vaccine science (58%), vaccine trials (58%), side effects (48%), efficacy (35%) and manufacturing (17%). Twenty-one percent of videos encouraged continued public health measures. Only 4.2% of videos made non-factual claims. Ninety-eight percent of video content was scored to have low (60%) or medium (38%) adherence to HONCode principles. Educational channels produced by both medical and non-medical professionals achieved significantly higher DISCERN scores than other categories. The highest DISCERN scores were achieved by educational videos produced by medical professionals (64.3 (58.5-66.3)) and the lowest scores by independent users (18 (18-20)). CONCLUSIONS Overall quality and reliability of information on YouTube regarding COVID-19 vaccines remains poor. Videos produced by educational channels, especially by medical professionals, were higher in quality and reliability than those produced by other sources, including health-related organisations. Collaboration between health-related organisations and established medical and educational YouTube content producers provide an opportunity for dissemination of high-quality information regarding COVID-19 vaccination. Such collaboration holds potential as a rapidly implementable public health intervention aiming to engage a wide audience and increase public awareness and knowledge.


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