Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis

Guardado en:

Detalles Bibliográficos
Publicado en:	Journal of Medical Internet Research vol. 27 (2025), p. e67506
Autor principal:	Kim, ShinYe
Otros Autores:	Winson Fu Zun Yang, Jiwani, Zishan, Hamm, Emily, Singh, Shreya
Publicado:	Gunther Eysenbach MD MPH, Associate Professor
Materias:	North Dakota Florida United States > US Ohio Discourse Software Application programming interface Public health Risk factors Communication Mortality Coping strategies Opioids Social networks Clinical research Mass media Health status Health care access Narcotics Machine learning Fatalities Help seeking behavior Death & dying Optimism Social media Imbalance Chronic pain Classification Epidemics Natural language processing Linguistics Mortality rates Clustering Health services utilization Network analysis Comorbidity Semantics Psychological distress Mental health Accuracy Language patterns Coping Risk Semantic analysis States Discourse analysis Computer mediated communication Deaths Health services Mental health services Sociolinguistics Decision making Adults North and South Language Social factors Pain Health care
Acceso en línea:	Citation/Abstract Full Text + Graphics Full Text - PDF
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!