Reference health
Ask Your Doctor to Prescribe a YouTube Video: An Augmented Intelligence Approach to Assess Understandability of YouTube Videos for Patient Education
31/31 checkable references clean · checked 2026-08-07
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
7 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 31 checked references that resolve
resolves10.5888/pcd13.150478
A Mismatch Between Patient Education Materials About Sickle Cell Disease and the Literacy Level of Their Intended Audience
resolves10.2196/jmir.1933
A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication
resolves10.2196/jmir.3187
User-Generated Online Health Content: A Survey of Internet Users in the United Kingdom
resolves10.3138/jspr.29.3.401
New Media, New Voices: A Complex School Public Relations and Human Resources Challenge
resolves10.1093/nop/npz031
Evaluation of patient education materials for stereotactic radiosurgery from high-performing neurosurgery hospitals and professional societies
resolves10.1080/01621459.1984.10478078
Reducing Bias in Observational Studies Using Subclassification on the Propensity Score
resolves10.5070/D3231033669
YouTube as a source of health information: Analysis of sun protection and skin cancer prevention related issues
resolves10.1016/j.jpurol.2019.11.011
Consulting “Dr. YouTube”: an objective evaluation of hypospadias videos on a popular video-sharing website
resolves10.2139/ssrn.2830377
Content Complexity, Similarity, and Consistency in Social Media: A Deep Learning Approach
resolves10.1016/j.pec.2014.05.027
Development of the Patient Education Materials Assessment Tool (PEMAT): A new measure of understandability and actionability for print and audiovisual patient information
resolves10.1016/j.jen.2016.11.003
Evidence-Based Practice: Video-Discharge Instructions in the Pediatric Emergency Department
resolves10.1109/tnn.2009.2015974
Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews]
resolves10.1371/journal.pone.0082469
Is Content Really King? An Objective Analysis of the Public's Response to Medical Videos on YouTube
resolves10.1109/tpami.2014.2307881
Active Learning by Querying Informative and Representative Examples
resolves10.1177/0017896919876668
Evaluating literacy levels of patient education materials for a sickle cell transition group education programme
resolves10.1111/phn.12577
Assessing of the audiovisual patient educational materials on diabetes care with <scp>PEMAT</scp>
resolves10.1016/j.arthro.2019.07.033
Quality of Online Video Resources Concerning Patient Education for the Meniscus: A YouTube‐Based Quality‐Control Study
resolves10.1109/taffc.2014.2317187
Are They Different? Affect, Feeling, Emotion, Sentiment, and Opinion Detection in Text
resolves10.1038/gim.2015.118
Development and preliminary evaluation of an online educational video about whole-genome sequencing for research participants, patients, and the general public
resolves10.1186/s12886-016-0315-0
Readability of patient education materials in ophthalmology: a single-institution study and systematic review
The 7 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedLimitations of Co-training for Natural Language Learning from Large Datasets
no DOI — not checkedEstimating accuracy from unlabeled data: A probabilistic logic approach
no DOI — not checkedYouTube": an objective evaluation of hypospadias videos on a popular video-sharing website
no DOI — not checkedref16
no DOI — not checkedAddressing cold start in recommender systems: A semisupervised co-training algorithm
no DOI — not checkedref30
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