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

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Opis bibliograficzny
Wydane w:	Journal of Medical Internet Research vol. 27 (2025), p. e66220
1. autor:	Das, Sudeshna
Kolejni autorzy:	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
Wydane:	Gunther Eysenbach MD MPH, Associate Professor
Hasła przedmiotowe:	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
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