Investigating machine learning & natural language processing techniques applied for predicting depression disorder from online support forums: A systematic …

IA Nanomi Arachchige, P Sandanapitchai… - Information, 2021 - mdpi.com
Depression is a common mental health disorder that affects an individual's moods, thought
processes and behaviours negatively, and disrupts one's ability to function optimally. In most …

[HTML][HTML] From help-seekers to influential users: a systematic review of participation styles in online health communities

B Carron-Arthur, K Ali, JA Cunningham… - Journal of medical …, 2015 - jmir.org
Background Understanding how people participate in and contribute to online health
communities (OHCs) is useful knowledge in multiple domains. It is helpful for community …

Mining social media data: How are research sponsors and researchers addressing the ethical challenges?

J Taylor, C Pagliari - Research Ethics, 2018 - journals.sagepub.com
Background: Data representing people's behaviour, attitudes, feelings and relationships are
increasingly being harvested from social media platforms and re-used for research …

[HTML][HTML] Tweeting for and against public health policy: response to the Chicago Department of Public Health's electronic cigarette Twitter campaign

JK Harris, S Moreland-Russell, B Choucair… - Journal of medical …, 2014 - jmir.org
Background In January 2014, the Chicago City Council scheduled a vote on local regulation
of electronic cigarettes as tobacco products. One week prior to the vote, the Chicago …

When advocacy obscures accuracy online: digital pandemics of public health misinformation through an antifluoride case study

B Seymour, R Getman, A Saraf… - … journal of public …, 2015 - ajph.aphapublications.org
Objectives. In an antifluoridation case study, we explored digital pandemics and the social
spread of scientifically inaccurate health information across the Web, and we considered the …

[HTML][HTML] Acceptance of mobile health apps for disease management among people with multiple sclerosis: web-based survey study

J Apolinário-Hagen, M Menzel… - JMIR formative …, 2018 - formative.jmir.org
Background: Mobile health (mHealth) apps might have the potential to promote self-
management of people with multiple sclerosis (MS) in everyday life. However, the uptake of …

Sense making in complex health situations: Virtual health communities as sources of information and emotional support

S Naveh, J Bronstein - Aslib Journal of Information Management, 2019 - emerald.com
Purpose Using a sense making approach, the purpose of this paper is to examine the role
that virtual health communities play as a source of informational and social support for …

Identifying tweets of personal health experience through word embedding and LSTM neural network

K Jiang, S Feng, Q Song, RA Calix, M Gupta… - BMC …, 2018 - Springer
Abstract Background As Twitter has become an active data source for health surveillance
research, it is important that efficient and effective methods are developed to identify tweets …

[PDF][PDF] 在线健康社区中用户画像及主题特征分布下信息需求研究——以医享网结直肠癌圈数据为例

盛姝, 黄奇, 郑姝雅, 杨洋, 解绮雯, 张戈, 秦新国 - 情报学报, 2021 - qbxb.istic.ac.cn
摘要本文通过在线健康社区中对用户画像构建及主题特征挖掘, 揭示不同用户角色群体下用户
行为差异及特征, 以了解社区内用户信息需求, 为推动在线健康社区行业发展与完善提供建议 …

[HTML][HTML] Ill literates or illiterates? Investigating the eHealth literacy of users of online health communities

G Petrič, S Atanasova, T Kamin - Journal of medical Internet research, 2017 - jmir.org
Background Electronic health (eHealth) literacy is an important skill that allows patients to
navigate intelligibly through the vast, often misleading Web-based world. Although eHealth …