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https://www.readbyqxmd.com/read/28346480/stationarity-of-the-inter-event-power-law-distributions
#1
Yerali Gandica, João Carvalho, Fernando Sampaio Dos Aidos, Renaud Lambiotte, Timoteo Carletti
A number of human activities exhibit a bursty pattern, namely periods of very high activity that are followed by rest periods. Records of these processes generate time series of events whose inter-event times follow a probability distribution that displays a fat tail. The grounds for such phenomenon are not yet clearly understood. In the present work we use the freely available Wikipedia's editing records to unravel some features of this phenomenon. We show that even though the probability to start editing is conditioned by the circadian 24 hour cycle, the conditional probability for the time interval between successive edits at a given time of the day is independent from the latter...
2017: PloS One
https://www.readbyqxmd.com/read/28344689/exploring-social-media-and-admissions-decision-making-friends-or-foes
#2
Marcus Law, Maria Mylopoulos, Paula Veinot, Daniel Miller, Mark D Hanson
BACKGROUND: Despite the ever-increasing use of social media (e.g., Facebook, Twitter) little is known about its use in medical school admissions. This qualitative study explores whether and how social media (SM) is used in undergraduate admissions in Canada, and the attitudes of admissions personnel towards such use. METHODS: Phone interviews were conducted with admissions deans and nominated admissions personnel. A qualitative descriptive analysis was performed using iterative coding and comparing, and grouping data into themes...
October 2016: Canadian Medical Education Journal
https://www.readbyqxmd.com/read/28341768/public-reactions-to-e-cigarette-regulations-on-twitter-a-text-mining-analysis
#3
Allison J Lazard, Gary B Wilcox, Hannah M Tuttle, Elizabeth M Glowacki, Jessica Pikowski
BACKGROUND: In May 2016, the Food and Drug Administration (FDA) issued a final rule that deemed e-cigarettes to be within their regulatory authority as a tobacco product. News and opinions about the regulation were shared on social media platforms, such as Twitter, which can play an important role in shaping the public's attitudes. We analysed information shared on Twitter for insights into initial public reactions. METHODS: A text mining approach was used to uncover important topics among reactions to the e-cigarette regulations on Twitter...
March 24, 2017: Tobacco Control
https://www.readbyqxmd.com/read/28339747/deep-learning-for-pharmacovigilance-recurrent-neural-network-architectures-for-labeling-adverse-drug-reactions-in-twitter-posts
#4
Anne Cocos, Alexander G Fiks, Aaron J Masino
Objective: Social media is an important pharmacovigilance data source for adverse drug reaction (ADR) identification. Human review of social media data is infeasible due to data quantity, thus natural language processing techniques are necessary. Social media includes informal vocabulary and irregular grammar, which challenge natural language processing methods. Our objective is to develop a scalable, deep-learning approach that exceeds state-of-the-art ADR detection performance in social media...
February 22, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28338226/exploring-and-modelling-impacts-of-third-molar-experience-on-quality-of-life-a-real-time-qualitative-study-using-twitter
#5
Kamal Hanna, Paul Sambrook, Jason M Armfield, David S Brennan
OBJECTIVES: This study had two objectives: (i) to explore and model domains describing the real-time impact of third molars (TMs) on quality of life (QoL); and (ii) to assess the percentage coverage, in some generic health-related quality of life (HRQoL) and oral health-related quality of life (OHRQoL) instruments, of the TM QoL domains identified in this study. METHODOLOGY: A global cross-sectional sample of tweets containing 'wisdom tooth' over a 1-week period retrieved 3,537 tweets...
March 24, 2017: International Dental Journal
https://www.readbyqxmd.com/read/28336503/tweet-for-behavior-change-using-social-media-for-the-dissemination-of-public-health-messages
#6
Aisling Gough, Ruth F Hunter, Oluwaseun Ajao, Anna Jurek, Gary McKeown, Jun Hong, Eimear Barrett, Marbeth Ferguson, Gerry McElwee, Miriam McCarthy, Frank Kee
BACKGROUND: Social media public health campaigns have the advantage of tailored messaging at low cost and large reach, but little is known about what would determine their feasibility as tools for inducing attitude and behavior change. OBJECTIVE: The aim of this study was to test the feasibility of designing, implementing, and evaluating a social media-enabled intervention for skin cancer prevention. METHODS: A quasi-experimental feasibility study used social media (Twitter) to disseminate different message "frames" related to care in the sun and cancer prevention...
March 23, 2017: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/28334848/systematic-review-of-surveillance-by-social-media-platforms-for-illicit-drug-use
#7
Donna M Kazemi, Brian Borsari, Maureen J Levine, Beau Dooley
Background: The use of social media (SM) as a surveillance tool of global illicit drug use is limited. To address this limitation, a systematic review of literature focused on the ability of SM to better recognize illicit drug use trends was addressed. Methods: A search was conducted in databases: PubMed, CINAHL via Ebsco, PsychINFO via Ebsco, Medline via Ebsco, ERIC, Cochrane Library, Science Direct, ABI/INFORM Complete and Communication and Mass Media Complete...
March 14, 2017: Journal of Public Health
https://www.readbyqxmd.com/read/28329835/machine-learning-sentiment-analysis-and-tweets-an-examination-of-alzheimer-s-disease-stigma-on-twitter
#8
Nels Oscar, Pamela A Fox, Racheal Croucher, Riana Wernick, Jessica Keune, Karen Hooker
Objectives: Social scientists need practical methods for harnessing large, publicly available datasets that inform the social context of aging. We describe our development of a semi-automated text coding method and use a content analysis of Alzheimer's disease (AD) and dementia portrayal on Twitter to demonstrate its use. The approach improves feasibility of examining large publicly available datasets. Method: Machine learning techniques modeled stigmatization expressed in 31,150 AD-related tweets collected via Twitter's search API based on 9 AD-related keywords...
March 2, 2017: Journals of Gerontology. Series B, Psychological Sciences and Social Sciences
https://www.readbyqxmd.com/read/28329205/regarding-twitter-as-a-potential-data-source-for-cardiovascular-disease-research
#9
R Jay Widmer, Suraj Kapa
No abstract text is available yet for this article.
March 22, 2017: JAMA Cardiology
https://www.readbyqxmd.com/read/28329126/regarding-twitter-as-a-potential-data-source-for-cardiovascular-disease-research-reply
#10
Lauren Sinnenberg, David A Asch, Raina M Merchant
No abstract text is available yet for this article.
March 22, 2017: JAMA Cardiology
https://www.readbyqxmd.com/read/28327878/social-networks-in-nursing-work-processes-an-integrative-literature-review
#11
Ana Cláudia Mesquita, Cristina Mara Zamarioli, Francine Lima Fulquini, Emilia Campos de Carvalho, Emilia Luigia Saporiti Angerami
OBJECTIVE: To identify and analyze the available evidence in the literature on the use of social networks in nursing work processes. METHOD: An integrative review of the literature conducted in PubMed, CINAHL, EMBASE and LILACS databases in January 2016, using the descriptors social media, social networking, nursing, enfermagem, redes sociais, mídias sociais, and the keyword nursing practice, without year restriction. RESULTS: The sample consisted of 27 international articles which were published between 2011 and 2016...
March 20, 2017: Revista da Escola de Enfermagem da U S P
https://www.readbyqxmd.com/read/28327021/tweets-of-the-week
#12
(no author information available yet)
Nurses on Twitter.
March 22, 2017: Nursing Standard
https://www.readbyqxmd.com/read/28316638/sentiment-analysis-on-tweets-about-diabetes-an-aspect-level-approach
#13
María Del Pilar Salas-Zárate, José Medina-Moreira, Katty Lagos-Ortiz, Harry Luna-Aveiga, Miguel Ángel Rodríguez-García, Rafael Valencia-García
In recent years, some methods of sentiment analysis have been developed for the health domain; however, the diabetes domain has not been explored yet. In addition, there is a lack of approaches that analyze the positive or negative orientation of each aspect contained in a document (a review, a piece of news, and a tweet, among others). Based on this understanding, we propose an aspect-level sentiment analysis method based on ontologies in the diabetes domain. The sentiment of the aspects is calculated by considering the words around the aspect which are obtained through N-gram methods (N-gram after, N-gram before, and N-gram around)...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28302593/outcomes-in-child-health-exploring-the-use-of-social-media-to-engage-parents-in-patient-centered-outcomes-research
#14
Michele P Dyson, Kassi Shave, Ricardo M Fernandes, Shannon D Scott, Lisa Hartling
BACKGROUND: With the rapid growth of technology and its improved accessibility globally, social media is gaining an increasingly important role in health care. Patients are frequently engaging with social media to access information, share content, and interact with others in online health communities. However, the use of social media as a stakeholder engagement strategy has been minimally explored, and effective methods for involving participants in research on the identification of patient-centered outcomes remain unknown...
March 16, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28302497/building-community-through-a-pulmcc-twitter-chat-to-advocate-for-pulmonary-critical-care-and-sleep
#15
Christopher L Carroll, Kristi Bruno, Pradeep Ramachandran
BACKGROUND: Social media sites such as Twitter can significantly enhance education and advocacy efforts. In 2013, the American College of Chest Physicians (CHEST) launched a Twitter chat series using the hashtag #pulmcc to educate and advocate for topics related to pulmonary, critical care and sleep medicine. METHOD: To assess the reach of these chats, we analyzed the metrics using Symplur analytics, and compared data from each chat, as well as participant data...
March 13, 2017: Chest
https://www.readbyqxmd.com/read/28296969/the-traits-of-the-great-calls-in-the-juvenile-and-adolescent-gibbon-males-nomascus-gabriellae
#16
Michal Hradec, Pavel Linhart, Luděk Bartoš, Petra Bolechová
Knowledge about vocal ontogeny and vocal plasticity during ontogeny in primate species is central to understanding the evolution of human speech. Vocalizations in gibbons (Hominoidea) are very interesting and contain complex species- and sex-specific patterns. However, ontogeny of gibbon songs is little studied. Here, we document regular production and ontogenetic changes of female-specific "great call" in 4 immature (2 juvenile-c.a. 3 years old; and 2 adolescent-c.a. 5 years old) males of southern yellow-cheeked gibbon (N...
2017: PloS One
https://www.readbyqxmd.com/read/28294015/tweets-of-the-week
#17
(no author information available yet)
Nurses on Twitter.
March 15, 2017: Nursing Standard
https://www.readbyqxmd.com/read/28288034/the-current-use-of-social-media-in-undergraduate-nursing-education-a-review-of-the-literature
#18
Jennifer Gunberg Ross, Shannon Marie Myers
Social media, including blogs, Twitter, wikis, Facebook, YouTube, and Ning, provides an opportunity for nurse educators to engage undergraduate nursing students who are members of the millennial generation in active learning while enhancing knowledge and fostering communication. Despite the rise of social media usage in undergraduate nursing education, there is a significant deficiency of empirical evidence supporting the efficacy and outcomes of these teaching strategies. This article provides an overview of social media use in undergraduate nursing education and a review of the existing research related to social media use in prelicensure nursing education...
March 11, 2017: Computers, Informatics, Nursing: CIN
https://www.readbyqxmd.com/read/28283368/are-the-saudi-parents-aware-of-antibiotic-role-in-upper-respiratory-tract-infections-in-children
#19
Abdulaziz S Alrafiaah, Meaad H Alqarny, Haneen Y Alkubedan, Sulaiman AlQueflie, Aamir Omair
Upper respiratory tract infection (URTI) is considered to be the most common reason for children's visits to emergency departments or outpatient clinics. The misuse and overuse of antibiotics are currently major public health problems worldwide. This study aimed to assess Saudi parents' knowledge, attitude, and practice (KAP) regarding the use of antibiotics in URTIs in children. This cross-sectional study was conducted in Saudi Arabia using a previously validated questionnaire, which was distributed using Twitter...
March 7, 2017: Journal of Infection and Public Health
https://www.readbyqxmd.com/read/28279545/social-media-use-and-perceived-social-isolation-among-young-adults-in-the-u-s
#20
Brian A Primack, Ariel Shensa, Jaime E Sidani, Erin O Whaite, Liu Yi Lin, Daniel Rosen, Jason B Colditz, Ana Radovic, Elizabeth Miller
INTRODUCTION: Perceived social isolation (PSI) is associated with substantial morbidity and mortality. Social media platforms, commonly used by young adults, may offer an opportunity to ameliorate social isolation. This study assessed associations between social media use (SMU) and PSI among U.S. young adults. METHODS: Participants were a nationally representative sample of 1,787 U.S. adults aged 19-32 years. They were recruited in October-November 2014 for a cross-sectional survey using a sampling frame that represented 97% of the U...
February 24, 2017: American Journal of Preventive Medicine
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