Konrad, L.; Fruhmann Berger, L.M.; Maier, V.; Horné, F.; Neuheisel, L.M.; Laucks, E.V.; Riaz, M.A.; Oehmke, F.; Meinhold-Heerlein, I.; Zeppernick, F.
Predictive Model for the Non-Invasive Diagnosis of Endometriosis Based on Clinical Parameters. J. Clin. Med. 2023, 12, 4231.
https://doi.org/10.3390/jcm12134231
AMA Style
Konrad L, Fruhmann Berger LM, Maier V, Horné F, Neuheisel LM, Laucks EV, Riaz MA, Oehmke F, Meinhold-Heerlein I, Zeppernick F.
Predictive Model for the Non-Invasive Diagnosis of Endometriosis Based on Clinical Parameters. Journal of Clinical Medicine. 2023; 12(13):4231.
https://doi.org/10.3390/jcm12134231
Chicago/Turabian Style
Konrad, Lutz, Lea M. Fruhmann Berger, Veronica Maier, Fabian Horné, Laura M. Neuheisel, Elisa V. Laucks, Muhammad A. Riaz, Frank Oehmke, Ivo Meinhold-Heerlein, and Felix Zeppernick.
2023. "Predictive Model for the Non-Invasive Diagnosis of Endometriosis Based on Clinical Parameters" Journal of Clinical Medicine 12, no. 13: 4231.
https://doi.org/10.3390/jcm12134231
APA Style
Konrad, L., Fruhmann Berger, L. M., Maier, V., Horné, F., Neuheisel, L. M., Laucks, E. V., Riaz, M. A., Oehmke, F., Meinhold-Heerlein, I., & Zeppernick, F.
(2023). Predictive Model for the Non-Invasive Diagnosis of Endometriosis Based on Clinical Parameters. Journal of Clinical Medicine, 12(13), 4231.
https://doi.org/10.3390/jcm12134231