Literature DB >> 27803262

What Can We Learn About Mental Health Needs From Tweets Mentioning Dementia on World Alzheimer's Day?

Sunmoo Yoon1.   

Abstract

Entities:  

Mesh：

Year:  2016        PMID： 27803262      PMCID： PMC5337405          DOI： 10.1177/1078390316663690

Source DB:  PubMed          Journal:  J Am Psychiatr Nurses Assoc        ISSN： 1078-3903            Impact factor:   2.385


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  23 in total

Review 1.  Blogging and Social Media for Mental Health Education and Advocacy: a Review for Psychiatrists.

Authors:  Holly S Peek; Misty Richards; Owen Muir; Steven Richard Chan; Michael Caton; Carlene MacMillan
Journal:  Curr Psychiatry Rep       Date:  2015-11       Impact factor: 5.285

2.  "Facebook depression?" social networking site use and depression in older adolescents.

Authors:  Lauren A Jelenchick; Jens C Eickhoff; Megan A Moreno
Journal:  J Adolesc Health       Date:  2012-07-07       Impact factor: 5.012

3.  The future of mental health care: peer-to-peer support and social media.

Authors:  J A Naslund; K A Aschbrenner; L A Marsch; S J Bartels
Journal:  Epidemiol Psychiatr Sci       Date:  2016-01-08       Impact factor: 6.892

4.  Methods of knowledge discovery in tweets.

Authors:  Sunmoo Yoon; Suzanne Bakken
Journal:  NI 2012 (2012)       Date:  2012-06-23

Review 5.  Can clinical use of Social Media improve quality of care in mental Health? A Health Technology Assessment approach in an Italian mental health service.

Authors:  Wilma Angela Di Napoli; Giandomenico Nollo; Nicola Pace; Emanuele Torri
Journal:  Psychiatr Danub       Date:  2015-09       Impact factor: 1.063

6.  Content analysis of neurodegenerative and mental diseases social groups.

Authors:  Borja Martínez-Pérez; Isabel de la Torre-Díez; Beatriz Bargiela-Flórez; Miguel López-Coronado; Joel J P C Rodrigues
Journal:  Health Informatics J       Date:  2014-04-03       Impact factor: 2.681

7.  A Scalable Framework to Detect Personal Health Mentions on Twitter.

Authors:  Zhijun Yin; Daniel Fabbri; S Trent Rosenbloom; Bradley Malin
Journal:  J Med Internet Res       Date:  2015-06-05       Impact factor: 5.428

Review 8.  Online social networking sites and mental health research.

Authors:  Umar Toseeb; Becky Inkster
Journal:  Front Psychiatry       Date:  2015-03-12       Impact factor: 4.157

9.  Using social media for support and feedback by mental health service users: thematic analysis of a twitter conversation.

Authors:  Andrew Shepherd; Caroline Sanders; Michael Doyle; Jenny Shaw
Journal:  BMC Psychiatry       Date:  2015-02-19       Impact factor: 3.630

10.  Internet-based recruitment to a depression prevention intervention: lessons from the Mood Memos study.

Authors:  Amy Joanna Morgan; Anthony Francis Jorm; Andrew James Mackinnon
Journal:  J Med Internet Res       Date:  2013-02-12       Impact factor: 5.428
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  5 in total

1.  Comparing Themes Extracted via Topic Modeling and Manual Content Analysis: Korean-Language Discussions of Dementia on Twitter.

Authors:  Haeyoung Lee; Sun Joo Jang; Frederick F Sun; Peter Broadwell; Sunmoo Yoon
Journal:  Stud Health Technol Inform       Date:  2022-06-29

2.  Comparing Emotional Valence Scores of Twitter Posts from Manual Coding and Machine Learning Algorithms to Gain Insights to Refine Interventions for Family Caregivers of Persons with Dementia.

Authors:  Sunmoo Yoon; Peter Broadwell; Frederick F Sun; Sun Joo Jang; Haeyoung Lee
Journal:  Stud Health Technol Inform       Date:  2022-06-29

3.  Investigation of Carers' Perspectives of Dementia Misconceptions on Twitter: Focus Group Study.

Authors:  Georgie Hudson; Sonja M Jansli; Sinan Erturk; Daniel Morris; Clarissa M Odoi; Angela Clayton-Turner; Vanessa Bray; Gill Yourston; Doreen Clouden; David Proudfoot; Andrew Cornwall; Claire Waldron; Til Wykes; Sagar Jilka
Journal:  JMIR Aging       Date:  2022-01-24

4.  Public Discourse and Sentiment Toward Dementia on Chinese Social Media: Machine Learning Analysis of Weibo Posts.

Authors:  Dexia Kong; Anfan Chen; Jingwen Zhang; Xiaoling Xiang; W Q Vivian Lou; Timothy Kwok; Bei Wu
Journal:  J Med Internet Res       Date:  2022-09-02       Impact factor: 7.076

5.  Automatically Identifying Twitter Users for Interventions to Support Dementia Family Caregivers: Annotated Data Set and Benchmark Classification Models.

Authors:  Ari Z Klein; Arjun Magge; Karen O'Connor; Graciela Gonzalez-Hernandez
Journal:  JMIR Aging       Date:  2022-09-16
  5 in total

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