KOPITAR, Leon, FISTER JR., Iztok und STIGLIC, Gregor, 2024. Using Generative AI to Improve the Performance and Interpretability of Rule-Based Diagnosis of Type 2 Diabetes Mellitus. Information. 1 März 2024. Vol. 15, no. 3, p. 162-178. DOI 10.3390 nfo15030162.
Elsevier - Harvard (with titles)Kopitar, L., Fister Jr., I., Stiglic, G., 2024. Using Generative AI to Improve the Performance and Interpretability of Rule-Based Diagnosis of Type 2 Diabetes Mellitus. Information 15, 162-178. https://doi.org/10.3390 nfo15030162
American Psychological Association 7th editionKopitar, L., Fister Jr., I., & Stiglic, G. (2024). Using Generative AI to Improve the Performance and Interpretability of Rule-Based Diagnosis of Type 2 Diabetes Mellitus. Information, 15(3), 162-178. https://doi.org/10.3390 nfo15030162
Springer - Basic (author-date)Kopitar L, Fister Jr. I, Stiglic G (2024) Using Generative AI to Improve the Performance and Interpretability of Rule-Based Diagnosis of Type 2 Diabetes Mellitus.. Information 15:162-178. https://doi.org/10.3390 nfo15030162
Juristische Zitierweise (Stüber) (Deutsch)Kopitar, Leon/ Fister Jr., Iztok/ Stiglic, Gregor, Using Generative AI to Improve the Performance and Interpretability of Rule-Based Diagnosis of Type 2 Diabetes Mellitus., Information 2024, 162-178.