Article Versions Notes

Laios A, De Oliveira Silva RV, Dantas De Freitas DL, Tan YS, Saalmink G, Zubayraeva A, Johnson R, Kaufmann A, Otify M, Hutson R, et al. Machine Learning-Based Risk Prediction of Critical Care Unit Admission for Advanced Stage High Grade Serous Ovarian Cancer Patients Undergoing Cytoreductive Surgery: The Leeds-Natal Score. Journal of Clinical Medicine. 2022; 11(1):87. https://doi.org/10.3390/jcm11010087

Laios, Alexandros, Raissa Vanessa De Oliveira Silva, Daniel Lucas Dantas De Freitas, Yong Sheng Tan, Gwendolyn Saalmink, Albina Zubayraeva, Racheal Johnson, Angelika Kaufmann, Mohammed Otify, Richard Hutson, and et al. 2022. "Machine Learning-Based Risk Prediction of Critical Care Unit Admission for Advanced Stage High Grade Serous Ovarian Cancer Patients Undergoing Cytoreductive Surgery: The Leeds-Natal Score" Journal of Clinical Medicine 11, no. 1: 87. https://doi.org/10.3390/jcm11010087

Laios, A., De Oliveira Silva, R. V., Dantas De Freitas, D. L., Tan, Y. S., Saalmink, G., Zubayraeva, A., Johnson, R., Kaufmann, A., Otify, M., Hutson, R., Thangavelu, A., Broadhead, T., Nugent, D., Theophilou, G., Gomes de Lima, K. M., & De Jong, D. (2022). Machine Learning-Based Risk Prediction of Critical Care Unit Admission for Advanced Stage High Grade Serous Ovarian Cancer Patients Undergoing Cytoreductive Surgery: The Leeds-Natal Score. Journal of Clinical Medicine, 11(1), 87. https://doi.org/10.3390/jcm11010087