A deep learning and clustering‐based topic consistency modeling framework for matching health information supply and demand
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A deep learning and clustering‐based topic consistency modeling framework for matching health information supply and demand
Authors
Keywords
-
Journal
Journal of the Association for Information Science and Technology
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2023-11-01
DOI
10.1002/asi.24846
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Examining Rural and Urban Sentiment Difference in COVID-19–Related Topics on Twitter: Word Embedding–Based Retrospective Study
- (2023) Yongtai Liu et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Exploring COVID-19–Related Stressors: Topic Modeling Study
- (2022) Yue Tong Leung et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Information avoidance in the age of COVID-19: A meta-analysis
- (2022) Jinhui Li INFORMATION PROCESSING & MANAGEMENT
- An analysis of cognitive change in online mental health communities: A textual data analysis based on post replies of support seekers
- (2022) Dongxiao Gu et al. INFORMATION PROCESSING & MANAGEMENT
- The effect of fear and situational motivation on online information avoidance: The case of COVID-19
- (2022) Tahmina Sultana et al. INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
- The Information Needs of Chinese Family members of Cancer Patients in the Online Health Community: What and Why?
- (2021) Dan Ma et al. INFORMATION PROCESSING & MANAGEMENT
- Information avoidance during health crises: Predictors of avoiding information about the COVID-19 pandemic among german news consumers
- (2021) Elena Link INFORMATION PROCESSING & MANAGEMENT
- The Effects of Participating in a Physician-Driven Online Health Community in Managing Chronic Disease: Evidence from Two Natural Experiments
- (2020) Qianqian Ben Liu et al. MIS QUARTERLY
- IT-Enabled Self-Monitoring for Chronic Disease Self-Management: An Interdisciplinary Review
- (2020) Jinglu Jiang et al. MIS QUARTERLY
- A Comprehensive Analysis of Triggers and Risk Factors for Asthma Based on Machine Learning and Large Heterogeneous Data Sources
- (2020) Wenli Zhang et al. MIS QUARTERLY
- ENHANCING HEALTHCARE PROFESSIONAL AND CAREGIVING STAFF INFORMEDNESS WITH DATA ANALYTICS FOR CHRONIC DISEASE MANAGEMENT
- (2020) Na Liu et al. INFORMATION & MANAGEMENT
- Multidimensional Feature Classification of the Health Information Needs of Patients With Hypertension in an Online Health Community Through Analysis of 1000 Patient Question Records: Observational Study
- (2020) Aijing Luo et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Grappling with the COVID-19 health crisis: Analysis of communication strategies and their effects on public engagement on social media (Preprint)
- (2020) Cindy Sing Bik Ngai et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study
- (2020) Daniel M Low et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Learning the Language of Social Media: A Comparison of Engagement Metrics and Social Media Strategies Used by Food and Nutrition-Related Social Media Accounts
- (2020) Amy M. Barklamb et al. Nutrients
- Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach
- (2020) Hamed Jelodar et al. IEEE Journal of Biomedical and Health Informatics
- The differential effects of trusting beliefs on social media users’ willingness to adopt and share health knowledge
- (2020) Xiao-Ling Jin et al. INFORMATION PROCESSING & MANAGEMENT
- Detecting health misinformation in online health communities: Incorporating behavioral features into machine learning based approaches
- (2020) Yuehua Zhao et al. INFORMATION PROCESSING & MANAGEMENT
- Effects of Objective and Subjective Health Literacy on Patients’ Accurate Judgment of Health Information and Decision-Making Ability: Survey Study
- (2020) Peter Johannes Schulz et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Factors Influencing User Engagement of Health Information Disseminated by Chinese Provincial Centers for Disease Control and Prevention on WeChat: Observational Study
- (2019) Yan Zhang et al. JMIR mHealth and uHealth
- Consumer health information needs: A systematic review of measures
- (2019) Wenjing Pian et al. INFORMATION PROCESSING & MANAGEMENT
- A multi-centrality index for graph-based keyword extraction
- (2019) Didier A. Vega-Oliveros et al. INFORMATION PROCESSING & MANAGEMENT
- A novel similarity classifier with multiple ideal vectors based on k-means clustering
- (2018) Christoph Lohrmann et al. DECISION SUPPORT SYSTEMS
- Leveraging deep learning with LDA-based text analytics to detect automobile insurance fraud
- (2018) Yibo Wang et al. DECISION SUPPORT SYSTEMS
- Research on gender differences in online health communities
- (2018) Xuan Liu et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Extracting Representative Information on Intra-Organizational Blogging Platforms
- (2017) Xunhua Guo et al. MIS QUARTERLY
- ICD-10: History and Context
- (2016) J.A. Hirsch et al. AMERICAN JOURNAL OF NEURORADIOLOGY
- Poor health literacy increases mortality
- (2011) Alexandra King Nature Reviews Cardiology
- Poor health literacy: a 'hidden' risk factor
- (2010) Alexandra King Nature Reviews Cardiology
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More