APA (7th ed.) Citation

N, F., F, M., L, V., L, R., J, W., AF, N., . . . F, B. (2026). Interpretable Feature Extraction from Clinical Notes for Sepsis Prediction: Comparing Rule-Based, LLM, and Hybrid Approaches. Studies in health technology and informatics, 336, 989. https://doi.org/10.3233/SHTI260327

Chicago Style (17th ed.) Citation

N, Frey, et al. "Interpretable Feature Extraction from Clinical Notes for Sepsis Prediction: Comparing Rule-Based, LLM, and Hybrid Approaches." Studies in Health Technology and Informatics 336 (2026): 989. https://doi.org/10.3233/SHTI260327.

MLA (9th ed.) Citation

N, Frey, et al. "Interpretable Feature Extraction from Clinical Notes for Sepsis Prediction: Comparing Rule-Based, LLM, and Hybrid Approaches." Studies in Health Technology and Informatics, vol. 336, 2026, p. 989, https://doi.org/10.3233/SHTI260327.