ArticleJournal of biomedical informatics2017
Longitudinal analysis of discussion topics in an online breast cancer community using convolutional neural networks.
Article in Journal of biomedical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic literature review of machine learning in online personal health data.Journal of the American Medical Informatics Association : JAMIA · 2019Pooled it
- Emotion Expression in Breast Cancer Support Seeking: Empirical Study of an Online Community.JMIR medical informatics · 2026Article
- Relationship Between Supportive Care Needs and Stigma in Women With Breast Cancer: A Cross-Sectional Study.Health science reports · 2025Article
- Cancers missed, women dismissed yet persist: natural language processing of online forums.Breast cancer research : BCR · 2025Article
- Assessing the needs of patients with breast cancer and their families across various treatment phases using a Latent Dirichlet Allocation model: a text-mining approach to online health communities.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- A Study on Online Health Community Users' Information Demands Based on the BERT-LDA Model.Healthcare (Basel, Switzerland) · 2023Article
- Named Entity Recognition of Diabetes Online Health Community Data Using Multiple Machine Learning Models.Bioengineering (Basel, Switzerland) · 2023Article
- Discerning conversational context in online health communities for personalized digital behavior change solutions using Pragmatics to Reveal Intent in Social Media (PRISM) framework.Journal of biomedical informatics · 2023Article
- A Comparative Study of Natural Language Processing Algorithms Based on Cities Changing Diabetes Vulnerability Data.Healthcare (Basel, Switzerland) · 2022Article
- From Patient Engagement to Precision Oncology: Leveraging Informatics to Advance Cancer Care.Yearbook of medical informatics · 2020Review
- Breast cancer stigma among Indonesian women: a case study of breast cancer patients.BMC women's health · 2020Article
- Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework.Journal of the American Medical Informatics Association : JAMIA · 2020Review
- Exploring the Social Structure of a Health-Related Online Community for Tobacco Cessation: A Two-Mode Network Approach.Studies in health technology and informatics · 2019Article
- Recent Advances in Using Natural Language Processing to Address Public Health Research Questions Using Social Media and ConsumerGenerated Data.Yearbook of medical informatics · 2019Article
- The therapy is making me sick: how online portal communications between breast cancer patients and physicians indicate medication discontinuation.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Content-Sensitive Characterization of Peer Interactions of Highly Engaged Users in an Online Community for Smoking Cessation: Mixed-Methods Approach for Modeling User Engagement in Health Promotion Interventions.Journal of participatory medicine · 2018Article
- Ordinal convolutional neural networks for predicting RDoC positive valence psychiatric symptom severity scores.Journal of biomedical informatics · 2017Article
- Using Pathfinder networks to discover alignment between expert and consumer conceptual knowledge from online vaccine content.Journal of biomedical informatics · 2017Article
- What Patients Can Tell Us: Topic Analysis for Social Media on Breast Cancer.JMIR medical informatics · 2017Article
- Cataloguing Treatments Discussed and Used in Online Autism Communities.Proceedings of the ... International World-Wide Web Conference. International WWW Conference · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Identifying topics of discussions in online health communities (OHC) is critical to various information extraction applications, but can be difficult because topics of OHC content are usually heterogeneous and domain-dependent. In this paper, we provide a multi-class schema, an annotated dataset, and supervised classifiers based on convolutional neural network (CNN) and other models for the task of classifying discussion topics. We apply the CNN classifier to the most popular breast cancer online community, and carry out cross-sectional and longitudinal analyses to show topic distributions and topic dynamics throughout members' participation. Our experimental results suggest that CNN outperforms other classifiers in the task of topic classification and identify several patterns and trajectories. For example, although members discuss mainly disease-related topics, their interest may change through time and vary with their disease severities.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.