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

Gorde:

Xehetasun bibliografikoak
Argitaratua izan da:	Journal of Medical Internet Research vol. 27 (2025), p. e66220
Egile nagusia:	Das, Sudeshna
Beste egile batzuk:	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
Argitaratua:	Gunther Eysenbach MD MPH, Associate Professor
Gaiak:	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
Sarrera elektronikoa:	Citation/Abstract Full Text + Graphics Full Text - PDF
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Izan zaitez lehena ohar bat uzten!