Graph-Enhanced Retrieval-Augmented Generation for Postoperative Patient Question Answering: A Comparative Evaluation of Knowledge Graph, Retrieval-Augmented Generation, and Hybrid GraphRAG Approaches
- DOI
- 10.3390/bioengineering13101097
- Published
- 2026-09-22
- Container
- Bioengineering
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/bioengineering13101097,
title = {Graph-Enhanced Retrieval-Augmented Generation for Postoperative Patient Question Answering: A Comparative Evaluation of Knowledge Graph, Retrieval-Augmented Generation, and Hybrid GraphRAG Approaches},
author = {Srinivasagam Prabha and Bernardo G. Collaco and Carina Rosa Malena and Syed Ali Haider and Nadia Wood and Antonio Jorge Forte},
year = {2026},
journal = {Bioengineering},
doi = {10.3390/bioengineering13101097},
url = {https://doi.org/10.3390/bioengineering13101097}
}RIS
TY - JOUR TI - Graph-Enhanced Retrieval-Augmented Generation for Postoperative Patient Question Answering: A Comparative Evaluation of Knowledge Graph, Retrieval-Augmented Generation, and Hybrid GraphRAG Approaches AU - Srinivasagam Prabha AU - Bernardo G. Collaco AU - Carina Rosa Malena AU - Syed Ali Haider AU - Nadia Wood AU - Antonio Jorge Forte PY - 2026 JO - Bioengineering DO - 10.3390/bioengineering13101097 UR - https://doi.org/10.3390/bioengineering13101097 ER -
APA
Prabha, S., Collaco, B. G., Malena, C. R., Haider, S. A., Wood, N., & Forte, A. J. (2026). Graph-Enhanced Retrieval-Augmented Generation for Postoperative Patient Question Answering: A Comparative Evaluation of Knowledge Graph, Retrieval-Augmented Generation, and Hybrid GraphRAG Approaches. Bioengineering. https://doi.org/10.3390/bioengineering13101097
Source records
- crossref · retrieved 2026-11-10T05:42:56.526Z