Characterizing Sleep Issues Using Twitter. - sprookjes - yvandenbroek - TriplyDB

Characterizing Sleep Issues Using Twitter.

Characterizing Sleep Issues Using Twitter.

http://www.wikidata.org/entity/Q35922306

about

Building a National Neighborhood Dataset From Geotagged Twitter Data for Indicators of Happiness, Diet, and Physical Activity Establishing a Link Between Prescription Drug Abuse and Illicit Online Pharmacies: Analysis of Twitter Data.Sleep Quality Prediction From Wearable Data Using Deep Learning Agenda Setting for Health Promotion: Exploring an Adapted Model for the Social Media Era.The Importance of Computer Science for Public Health Training: An Opportunity and Call to Action.What Can We Learn About Mental Health Needs From Tweets Mentioning Dementia on World Alzheimer's Day?Social Media Listening for Routine Post-Marketing Safety Surveillance.Twitter-derived neighborhood characteristics associated with obesity and diabetes.Online Communication about Depression and Anxiety among Twitter Users with Schizophrenia: Preliminary Findings to Inform a Digital Phenotype Using Social Media.Exploring online communication about cigarette smoking among Twitter users who self-identify as having schizophrenia.Adolescent and Young Adult Use of Social Media for Health and Its Implications.Characterizing Depression Issues on Sina Weibo.High-resolution Temporal Representations of Alcohol and Tobacco Behaviors from Social Media Data.

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P2860

Characterizing Sleep Issues Using Twitter.

http://www.wikidata.org/entity/Q35922306

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2015 nî lūn-bûn

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2015年の論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年论文

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2015年论文

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2015年论文

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Journal of Medical Internet Research

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Characterizing Sleep Issues Using Twitter.

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Aman Bhandari

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Arnaub K Chatterjee

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P2860

A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication

Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet

Assessing the online social environment for surveillance of obesity prevalence

Reputation as a sufficient condition for data quality on Amazon Mechanical Turk.

Discovering health topics in social media using topic models.

Midlife insomnia and subsequent mortality: the Hordaland health study.

Tweets about hospital quality: a mixed methods study.

Social and news media enable estimation of epidemiological patterns early in the 2010 Haitian cholera outbreak.

Tweeting it off: characteristics of adults who tweet about a weight loss attempt.

Association between perceived insufficient sleep, frequent mental distress, obesity and chronic diseases among US adults, 2009 behavioral risk factor surveillance system.

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John Brownstein

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