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Lazic I, Hinterwimmer F, Langer S, Pohlig F, Suren C, Seidl F, Rückert D, Burgkart R, von Eisenhart-Rothe R. Prediction of Complications and Surgery Duration in Primary Total Hip Arthroplasty Using Machine Learning: The Necessity of Modified Algorithms and Specific Data. Journal of Clinical Medicine. 2022; 11(8):2147. https://doi.org/10.3390/jcm11082147

Lazic, Igor, Florian Hinterwimmer, Severin Langer, Florian Pohlig, Christian Suren, Fritz Seidl, Daniel Rückert, Rainer Burgkart, and Rüdiger von Eisenhart-Rothe. 2022. "Prediction of Complications and Surgery Duration in Primary Total Hip Arthroplasty Using Machine Learning: The Necessity of Modified Algorithms and Specific Data" Journal of Clinical Medicine 11, no. 8: 2147. https://doi.org/10.3390/jcm11082147

Lazic, I., Hinterwimmer, F., Langer, S., Pohlig, F., Suren, C., Seidl, F., Rückert, D., Burgkart, R., & von Eisenhart-Rothe, R. (2022). Prediction of Complications and Surgery Duration in Primary Total Hip Arthroplasty Using Machine Learning: The Necessity of Modified Algorithms and Specific Data. Journal of Clinical Medicine, 11(8), 2147. https://doi.org/10.3390/jcm11082147