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Applying Sparse Machine Learning Methods to Twitter: Analysis of the 2012 Change in Pap Smear Guidelines. A Sequential Mixed-Methods Study

BACKGROUND: It is difficult to synthesize the vast amount of textual data available from social media websites. Capturing real-world discussions via social media could provide insights into individuals’ opinions and the decision-making process. OBJECTIVE: We conducted a sequential mixed methods stud...

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Bibliographische Detailangaben
Veröffentlicht in:JMIR Public Health Surveill
Hauptverfasser: Lyles, Courtney Rees, Godbehere, Andrew, Le, Gem, El Ghaoui, Laurent, Sarkar, Urmimala
Format: Artigo
Sprache:Inglês
Veröffentlicht: Gunther Eysenbach 2016
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4920957/
https://ncbi.nlm.nih.gov/pubmed/27288093
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/publichealth.5308
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