Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of Medical Internet Research vol. 27 (2025), p. e66220
1. Verfasser:	Das, Sudeshna
Weitere Verfasser:	Yao Ge, Guo, Yuting, Rajwal, Swati, Hairston, JaMor, Powell, Jeanne, Walker, Drew, Peddireddy, Snigdha, Lakamana, Sahithi, Bozkurt, Selen, Reyna, Matthew, Sameni, Reza, Xiao, Yunyu, Kim, Sangmi, Chandler, Rasheeta, Hernandez, Natalie, Mowery, Danielle, Wightman, Rachel, Love, Jennifer, Spadaro, Anthony, Perrone, Jeanmarie, Sarker, Abeed
Veröffentlicht:	Gunther Eysenbach MD MPH, Associate Professor
Schlagworte:	United States > US Readability Drug overdose Drug withdrawal Multimedia Hypotheses Substance abuse Ketamine Social media Retrieval Side effects Frame analysis Likert scale Data collection Queries Large language models Augmentation Retrieval performance measures Information retrieval Coherence Clinical information Answers Data processing Models Mass media Attitudes Question answer sequences Drug effects Natural language processing Information Language Language modeling
Online-Zugang:	Citation/Abstract Full Text + Graphics Full Text - PDF
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!

Schreiben Sie den ersten Kommentar!