Decoding twitter: Surveillance and trends for cardiac arrest and resuscitation communication.
about
Systematic review on the prevalence, frequency and comparative value of adverse events data in social media.Toward a Mixed-Methods Research Approach to Content Analysis in The Digital Age: The Combined Content-Analysis Model and its Applications to Health Care Twitter FeedsInfluenza-like illness surveillance on Twitter through automated learning of naïve languageBig Data in Science and Healthcare: A Review of Recent Literature and Perspectives. Contribution of the IMIA Social Media Working Group.Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department.Using Twitter Data to Gain Insights into E-cigarette Marketing and Locations of Use: An Infoveillance Study.Establishing a Link Between Prescription Drug Abuse and Illicit Online Pharmacies: Analysis of Twitter Data.Twitter: a good place to detect health conditions.LESSONS LEARNED ABOUT PUBLIC HEALTH FROM ONLINE CROWD SURVEILLANCE.Discovering health topics in social media using topic models.Tweet for health: using an online social network to examine temporal trends in weight loss-related posts.Prevalence of Marijuana-Related Traffic on Twitter, 2012-2013: A Content Analysis.What can we learn about the Ebola outbreak from tweets?Medical journals, impact and social media: an ecological study of the TwittersphereThe Impact of Social Media on Dissemination and Implementation of Clinical Practice Guidelines: A Longitudinal Observational Study.Young Adults' Exposure to Alcohol- and Marijuana-Related Content on TwitterTweet Now, See You In the ED Later? Examining the Association Between Alcohol-related Tweets and Emergency Care Visits.Drug Use in the Twittersphere: A Qualitative Contextual Analysis of Tweets About Prescription Drugs.Twitter and traumatic brain injury: A content and sentiment analysis of tweets pertaining to sport-related brain injury.Twitter as a tool for communication and knowledge exchange in academic medicine: A guide for skeptics and novices.Health Information Needs and Health Seeking Behavior During the 2014-2016 Ebola Outbreak: A Twitter Content Analysis.Identifying behaviors that generate positive interactions between science museums and people on TwitterCooperative and Competitive Dynamics Model for Information Propagation in Online Social Networks
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P2860
Decoding twitter: Surveillance and trends for cardiac arrest and resuscitation communication.
description
2012 nî lūn-bûn
@nan
2012 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Decoding twitter: Surveillance ...... d resuscitation communication.
@ast
Decoding twitter: Surveillance ...... d resuscitation communication.
@en
type
label
Decoding twitter: Surveillance ...... d resuscitation communication.
@ast
Decoding twitter: Surveillance ...... d resuscitation communication.
@en
prefLabel
Decoding twitter: Surveillance ...... d resuscitation communication.
@ast
Decoding twitter: Surveillance ...... d resuscitation communication.
@en
P2093
P2860
P921
P1433
P1476
Decoding twitter: Surveillance ...... d resuscitation communication.
@en
P2093
Frances S Shofer
Justin C Bosley
Lance B Becker
Nina W Zhao
Raina M Merchant
Shawndra Hill
P2860
P304
P356
10.1016/J.RESUSCITATION.2012.10.017
P50
P577
2012-10-27T00:00:00Z