Patient Voices in Dialysis Care: Sentiment Analysis and Topic Modeling Study of Social Media Discourse

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Bibliographische Detailangaben
Veröffentlicht in:	Journal of Medical Internet Research vol. 27 (2025), p. e70128
1. Verfasser:	Shankar, Ravi
Weitere Verfasser:	Xu, Qian, Bundele, Anjali
Veröffentlicht:	Gunther Eysenbach MD MPH, Associate Professor
Schlagworte:	Hemodialysis Patient education Discourse Analysis Patient-centered care Datasets Patients Health care expenditures Data mining Kidney diseases Medical personnel Social networks Chronic illnesses User generated content Health care access Side effects Emotions Virtual communities Mapping Automation Global health Coherence COVID-19 Dialysis Quality of life Clinical outcomes Challenges Artificial intelligence Sentiment analysis Diet Social media Pandemics Activities of daily living Health education Optimization Natural language processing Topics Clustering Caregivers Libraries Peritoneal dialysis Semantics Multidimensional scaling Measures Punctuation Mass media effects Everyday life Models Discourse analysis Programming languages Valence Mass media images Health services Mental health services Rules Education Allocation Sociolinguistics Drug effects
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