scholarly journals Disease Risk Prediction using SVM based on Geographical Location

2018 ◽  
Vol 7 (2.24) ◽  
pp. 11
Author(s):  
Abarna A R ◽  
A Umamakeswari

Nowadays, people get more useful information from the internet and other technological platforms like social media. Plenty of health-care related information is available in social media where people spend more time in it. The existing methodology doesn’t include location in particular the user similarity based on the attributes. The proposed method specifies the assessment of disease risk by Support Vector Machine (SVM) algorithm to identify the similarity between the users based on the geographical location and then recommends the health expert to the users. This method also identifies the fake users and validates them. The health-care associated with big-data can be performed effectively in the proposed framework. The experimental output shows that the proposed method is more effective when compared with Collaborative Filtering based Disease Risk Assessment.  

2020 ◽  
Vol 4 (2) ◽  
pp. 329-335
Author(s):  
Rusydi Umar ◽  
Imam Riadi ◽  
Purwono

The failure of most startups in Indonesia is caused by team performance that is not solid and competent. Programmers are an integral profession in a startup team. The development of social media can be used as a strategic tool for recruiting the best programmer candidates in a company. This strategic tool is in the form of an automatic classification system of social media posting from prospective programmers. The classification results are expected to be able to predict the performance patterns of each candidate with a predicate of good or bad performance. The classification method with the best accuracy needs to be chosen in order to get an effective strategic tool so that a comparison of several methods is needed. This study compares classification methods including the Support Vector Machines (SVM) algorithm, Random Forest (RF) and Stochastic Gradient Descent (SGD). The classification results show the percentage of accuracy with k = 10 cross validation for the SVM algorithm reaches 81.3%, RF at 74.4%, and SGD at 80.1% so that the SVM method is chosen as a model of programmer performance classification on social media activities.


2016 ◽  
Author(s):  
Rahila Iftikhar ◽  
Bahaa Abaalkhail

BACKGROUND Major social networking platforms, such as Facebook, WhatsApp, and Twitter, have become popular means through which people share health-related information, irrespective of whether messages disseminated through these channels are authentic. OBJECTIVE This study aims to describe the demographic characteristics of patients that may demonstrate their attitudes toward medical information shared on social media networks. Second, we address how information found through social media affects the way people deal with their health. Third, we examine whether patients initiate or alter/discontinue their medications based on information derived from social media. METHODS We conducted a cross-sectional survey between April and June 2015 on patients attending outpatient clinics at King Abdulaziz University, Jeddah, Saudi Arabia. Patients who used social media (Facebook, WhatsApp, and Twitter) were included. We designed a questionnaire with closed-ended and multiple-choice questions to assess the type of social media platforms patients used and whether information received on these platforms influenced their health care decisions. We used chi-square test to establish the relationship between categorical variables. RESULTS Of the 442 patients who filled in the questionnaires, 401 used Facebook, WhatsApp, or Twitter. The majority of respondents (89.8%, 397/442) used WhatsApp, followed by Facebook (58.6%, 259/442) and Twitter (42.3%, 187/442). In most cases, respondents received health-related messages from WhatsApp and approximately 42.6% (171/401) reported ever stopping treatment as advised on a social media platform. A significantly higher proportion of patients without heart disease (P=.001) and obese persons (P=.01) checked the authenticity of information received on social media. Social media messages influenced decision making among patients without heart disease (P=.04). Respondents without heart disease (P=.001) and obese persons (P=.01) were more likely to discuss health-related information received on social media channels with a health care professional. A significant proportion of WhatsApp users reported that health-related information received on this platform influenced decisions regarding their family’s health care (P=.001). Respondents’ decisions regarding family health care were more likely to be influenced when they used two or all three types of platforms (P=.003). CONCLUSIONS Health education in the digital era needs to be accurate, evidence-based, and regulated. As technologies continue to evolve, we must be equipped to face the challenges it brings with it.


Author(s):  
Al Lauzon

This chapter examines how technology is supporting the health and health care system for rural/remote people, specifically telehealth and the Internet, with a focus on the Canadian context. I will begin by outlining the opportunities and the challenges that technology presents to rural people and communities. This is followed by highlighting the divide between rural and urban in the Canadian context, with a focus on inequities related to health. This is followed by exploring the role of ICTs in health and health care with a focus on changes in the Canadian healthcare system, telehealth and the Internet as a source of health related information. These issues are then examined through a rural lens, asking the question what, if any are the implications for rural people and communities. I end with a section of reflections followed by the conclusion that ICTs present new opportunities for rural people and communities, but if they are to be able to take advantage of these opportunities they must learn to develop the necessary capacities, both as individuals and as a community. Their challenge is a learning challenge.


2020 ◽  
Vol 29 (2) ◽  
pp. 218-225 ◽  
Author(s):  
Vinaya Manchaiah ◽  
Monica L. Bellon-Harn ◽  
Rebecca J. Kelly-Campbell ◽  
Eldré W. Beukes ◽  
Abram Bailey ◽  
...  

Objectives There has been a substantial increase in people with health conditions seeking health-related information online. The aim of this study was to examine the media usage by older adults with hearing loss. Method The study used a cross-sectional survey design. A total of 556 older adults with hearing loss (Hearing Tracker website users) completed the survey that was focused on (a) demographic information, (b) general electronic media usage, (c) sources of hearing health information, and (d) social media use for hearing health information. Data were analyzed using descriptive statistics and chi-square tests. Results When seeking hearing health care information, the majority of the participants turned to the Internet (54%) followed by health professionals (34%) as the first response to their symptoms. Both sources were also rated as the easiest means of obtaining hearing health information. The information from health care providers was rated as more reliable and important for decision making than that from the Internet. Facebook and YouTube were the most frequently used social media platforms with over 40% of the respondents using them “most of the time” or “sometimes.” All the social media platforms were rated less favorably than other sources for ease of finding information, reliability, and importance in decision making. Conclusion Older adults with hearing loss use various forms of electronic media for seeking hearing health information. They place the most trust on the information obtained from hearing health care professionals. These professionals need to be aware of the quality of information available on the Internet and social media sources in order to direct patients to credible sources. Supplemental Material https://doi.org/10.23641/asha.12170397


2021 ◽  
Vol 05 (02) ◽  
pp. 72-80
Author(s):  
Hoang Thuy Linh Nguyen ◽  
◽  
Xuan Minh Tri Tran ◽  
Thi Mien Ha Nguyen ◽  
Dinh Tuyen Hoang ◽  
...  

Objective: This study aims to describe the COVID-19 related information searching behaviors and the relationship between those behaviors and the satisfaction with the COVID-19 related information searched on the Internet among university students during first wave of the COVID-19 pandemic in Vietnam. Methods: A cross-sectional study was conducted by a web-based survey from April 25, 2020 to May 9, 2020. Convenient sample with the method of snowball sampling was applied, 1003 students were obtained totally. Multivariable logistic regression model was used to identify the associations between those behaviors and the satisfaction with the COVID-19 related information searched on the Internet. Results: Search engines were the most popular sources used for online COVID-19 information seeking (95.3%), followed by Social media (92.4%) and News portals (91.6%). About 90% of participants searched the information related to the current spread of the coronavirus, followed by symptoms of the COVID-19 (81.8%) and individual measures to protect against infection (81.9%). Vietnamese remains the main language of the sources with 70.3% of participants used. There’s 45.8% of participant satisfied about the COVID-19 related information. The group of participants who sought information about prevention was 0.47 times less dissatisfied than the group that did not search. Conclusion: There are significant associations between searching topics related to prevention and the COVID-19 related information satisfaction searched on the Internet. These results highlight the need for providing efficient information related to the COVID-19 pandemic as well as seriously consider focusing more on social media to better bring official information to the public. Keywords: COVID-19, information searching behaviors, university students, satisfaction


10.2196/16728 ◽  
2020 ◽  
Vol 22 (3) ◽  
pp. e16728 ◽  
Author(s):  
Vadim Osadchiy ◽  
Jesse Nelson Mills ◽  
Sriram Venkata Eleswarapu

Background Couples struggling with infertility are increasingly turning to the internet for infertility-related content and to connect with others. Most of the published data on infertility and the internet only address the experiences of women, with limited studies focusing exclusively on internet discussions on male factor infertility. Objective The aim of this study was to understand the concerns and experiences of discussants on an online male infertility community and to provide insight into their perceptions of interactions with health care professionals. Methods Using the large-scale data analytics tool BigQuery, we extracted all posts in the r/MaleInfertility community (877 members) of the social media website and discussion board Reddit from November 2017 to October 2018. We performed a qualitative thematic analysis and quantitative semantic analysis using Language Inquiry and Word Count 2015 of the extracted posts to identify dominant themes and subthemes of discussions. Descriptive statistics and semantic analytic Z-scores were computed. Results From the analysis of 97 posts, notable themes and subthemes emerged: 70 (72%) posts shared personal experiences, including feeling emasculated or isolated or describing a negative (28/97, 29%), positive (13/97, 13%), or neutral (56/97, 58%) experience with a health care professional; 19% (18/97) of the posts posed questions about personal semen analysis results. On the basis of semantic analysis, posts by men had higher authenticity scores (Z=3.44; P<.001), suggesting more honest or personal texts, but lower clout scores (Z=4.57; P<.001), suggesting a more tentative or anxious style of writing, compared with posts by women. Conclusions To our knowledge, this study represents the first evaluation of a social media community focused exclusively on male infertility using mixed methodology. These results suggest a role for physicians on social media to engage with patients and connect them to accurate resources, in addition to opportunities to improve in-office patient education.


2020 ◽  
Vol 29 (3S) ◽  
pp. 623-630
Author(s):  
Sandra N. Smith ◽  
Ethan Smallwood ◽  
Magdalena Sereda ◽  
Bethany Adams ◽  
Derek J. Hoare

Purpose Hyperacusis is a disorder characterized by reduced sound tolerance leading to ear pain, emotional distress, and reduced quality of life. Many people with hyperacusis turn to the Internet for information and support from online communities to discuss their condition. The purpose of this study was to assess the content and quality of hyperacusis information presented online. Method The three most used Internet search engines were used to identify relevant websites using the single search term hyperacusis . Fifteen websites were selected for analysis. Details of the purpose, audience, and content of each website were extracted using a bespoke data extraction form. The quality of the information on each website was rated using the validated DISCERN questionnaire. Results There was a wide disparity in the quality and content of hyperacusis information across websites. The website Hyperacusis Focus achieved the highest overall DISCERN score. Hyperacusis Focus and U.K. National Health Service websites were the most comprehensive online resources for health care professionals and patients, respectively. Wikipedia was judged useful for both health care professionals and patients. In general, hyperacusis-related information was accurate. However, no single website provided a complete account of hyperacusis, and some were judged to be selective in the information they provided. Conclusions The Internet provides an important source of information for those who have hyperacusis and those who care for them. Revisions to the websites reviewed here are needed for each to provide a complete account of hyperacusis. Supplemental Material https://doi.org/10.23641/asha.12869717


2018 ◽  
Author(s):  
Richard James Thomas Hamshaw ◽  
Julie Barnett ◽  
Jeff Gavin ◽  
Jane S Lucas

BACKGROUND Seeking and sharing information are the primary uses of the internet and social media. It is therefore vital to understand the processes individuals go through when engaging with information on these diverse platforms, especially in areas such as health- and risk-related information. One important element of such engagement is evaluating and attributing expertise to others. OBJECTIVE This study aimed to explore how meanings around expertise in relation to food allergy and intolerance (food hypersensitivity) were constructed by 2 groups of social media users: (1) those who use platforms for reasons relating to food hypersensitivity and (2) those seen as experts by this community. METHODS Survey participants were asked open-ended questions to identify potential experts in food hypersensitivity issues on social media and to discuss their reasoning for their choices (n=143). Subsequently, 8 adult social media users with experience of managing food hypersensitivity and 5 participants designated as experts by those users took part in email interviews. Survey and interview data were analyzed thematically using Braun and Clarke’s approach. RESULTS Judging expertise on social media is a complex and multifaceted process. Users might be judged as experts through their professional background or their experience living with food hypersensitivities. How users behave on social media and the traces of their Web-based activity can influence how others will see them. Such considerations are both measured and moderated through the social media community itself. Findings highlighted how social media often act as a supportive information tool following a diagnosis, but this also raised concerns regarding the scenario of patients not being able to access suitable vetted information. CONCLUSIONS This work has implications for understanding how users perceive expertise on social media in relation to a health concern and how information assessments are made during the management of risks. Findings provide practical insights to both medical and organizational stakeholders involved in the support of those living with life-changing conditions, such as food hypersensitivities.


10.2196/21640 ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. e21640
Author(s):  
Sunny J Patel ◽  
Achuta K Guddati

As access to the internet has grown over the years, social media has become an important resource in the health care sector. Third-party physician-rating websites in particular have gained popularity. However, there are ethical implications of such websites. These websites provide a platform for patients to evaluate and review physicians and likewise increase visibility and advertisement of physicians, but they also violate the rights to privacy that these doctors should have. This paper aims to study and assess the ethical implications of these websites on the visibility and privacy of physicians. After presenting the ethical dilemma associated with such websites, it provides guidelines that can be incorporated by both physicians and third-party sites to help maintain physician privacy while providing public service in the form of advertisement and visibility.


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