ReviewJournal of medical Internet research2011
Review of extracting information from the Social Web for health personalization.
Review in Journal of medical Internet research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Are personal health records safe? A review of free web-accessible personal health record privacy policies.Journal of medical Internet research · 2012Pooled it
- Impact of patient access to Internet health records on glaucoma medication: randomized controlled trial.Journal of medical Internet research · 2014Trial
- Engagements with Generative AI and Personal Health Informatics: Opportunities for Planning, Tracking, Reflecting, and Acting around Personal Health Data.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2025Article
- A Blockchain-Based Secret-Data Sharing Framework for Personal Health Records in Emergency Condition.Healthcare (Basel, Switzerland) · 2021Article
- Segmentation of health-care consumers: psychological determinants of subjective health and other person-related variables.BMC health services research · 2020Article
- Data Work: Meaning-Making in the Era of Data-Rich Medicine.Journal of medical Internet research · 2019Article
- DisVis: Visualizing Discussion Threads in Online Health Communities.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
- The Association Between Online Health Information-Seeking Behaviors and Health Behaviors Among Hispanics in New York City: A Community-Based Cross-Sectional Study.Journal of medical Internet research · 2015Article
- Meeting the security requirements of electronic medical records in the ERA of high-speed computing.Journal of medical systems · 2015Article
- Online discourse on fibromyalgia: text-mining to identify clinical distinction and patient concerns.Medical science monitor : international medical journal of experimental and clinical research · 2014Article
- "Big data" and the electronic health record.Yearbook of medical informatics · 2014Review
- An overview of current and potential use of information and communication technologies for immunization promotion among adolescents.Human vaccines & immunotherapeutics · 2013Review
- Word frequency and content analysis approach to identify demand patterns in a virtual community of carriers of hepatitis C.Interactive journal of medical research · 2013Article
- Examining the differences in format and characteristics of zoonotic virus surveillance data on state agency websites.Journal of medical Internet research · 2013Article
- ICDTag: a prototype for a web-based system for organizing physician-written blog posts using a hybrid taxonomy-folksonomy approach.Journal of medical Internet research · 2013Article
- Active assistance technology for health-related behavior change: an interdisciplinary review.Journal of medical Internet research · 2012Review
- Data analysis and data mining: current issues in biomedical informatics.Methods of information in medicine · 2011Article
- Identifying medical terms in patient-authored text: a crowdsourcing-based approach.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years the Web has come into its own as a social platform where health consumers are actively creating and consuming Web content. Moreover, as the Web matures, consumers are gaining access to personalized applications adapted to their health needs and interests. The creation of personalized Web applications relies on extracted information about the users and the content to personalize. The Social Web itself provides many sources of information that can be used to extract information for personalization apart from traditional Web forms and questionnaires. This paper provides a review of different approaches for extracting information from the Social Web for health personalization. We reviewed research literature across different fields addressing the disclosure of health information in the Social Web, techniques to extract that information, and examples of personalized health applications. In addition, the paper includes a discussion of technical and socioethical challenges related to the extraction of information for health personalization.
Indexed as
Identifiers
What OpenQuestion holds
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.