American Psychological Association 6th edition

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(3), 162-178. https://doi.org/10.3390 nfo15030162

ISO-690 (author-date, English)

KOPITAR, Leon, FISTER JR., Iztok and STIGLIC, Gregor, 2024. Using Generative AI to Improve the Performance and Interpretability of Rule-Based Diagnosis of Type 2 Diabetes Mellitus. Information. 1 March 2024. Vol. 15, no. 3, p. 162-178. DOI 10.3390 nfo15030162.

Modern Language Association 9th edition

Kopitar, L., I. Fister Jr., and G. Stiglic. “Using Generative AI to Improve the Performance and Interpretability of Rule-Based Diagnosis of Type 2 Diabetes Mellitus.”. Information, vol. 15, no. 3, Mar. 2024, pp. 162-78, https://doi.org/10.3390 nfo15030162.

Mohr Siebeck - Recht (Deutsch - Österreich)

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.

Emerald - Harvard

Kopitar, L., Fister Jr., I. and Stiglic, G. (2024), “Using Generative AI to Improve the Performance and Interpretability of Rule-Based Diagnosis of Type 2 Diabetes Mellitus.”, Information, Vol. 15 No. 3, pp. 162-178.

Warning: These citations may not always be 100% accurate.