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

Achieving complete surgical cytoreduction in advanced stage high grade serous ovarian cancer (HGSOC) patients warrants an availability of Critical Care Unit (CCU) beds. Machine Learning (ML) could be helpful in monitoring CCU admissions to improve standards of care. We aimed to improve the accuracy...

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Detalles Bibliográficos
Autores principales: Laios, Alexandros, De Oliveira Silva, Raissa Vanessa, Dantas De Freitas, Daniel Lucas, Tan, Yong Sheng, Saalmink, Gwendolyn, Zubayraeva, Albina, Johnson, Racheal, Kaufmann, Angelika, Otify, Mohammed, Hutson, Richard, Thangavelu, Amudha, Broadhead, Tim, Nugent, David, Theophilou, Georgios, Gomes de Lima, Kassio Michell, De Jong, Diederick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8745521/
https://www.ncbi.nlm.nih.gov/pubmed/35011828
http://dx.doi.org/10.3390/jcm11010087

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8745521/
https://www.ncbi.nlm.nih.gov/pubmed/35011828
http://dx.doi.org/10.3390/jcm11010087

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