Outcome Prediction in Critically-Ill Patients with Venous Thromboembolism and/or Cancer Using Machine Learning Algorithms: External Validation and Comparison with Scoring Systems

Intensive care unit (ICU) patients with venous thromboembolism (VTE) and/or cancer suffer from high mortality rates. Mortality prediction in the ICU has been a major medical challenge for which several scoring systems exist but lack in specificity. This study focuses on two target groups, namely pat...

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Detalles Bibliográficos
Autores principales: Danilatou, Vasiliki, Nikolakakis, Stylianos, Antonakaki, Despoina, Tzagkarakis, Christos, Mavroidis, Dimitrios, Kostoulas, Theodoros, Ioannidis, Sotirios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9266386/
https://www.ncbi.nlm.nih.gov/pubmed/35806137
http://dx.doi.org/10.3390/ijms23137132

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9266386/
https://www.ncbi.nlm.nih.gov/pubmed/35806137
http://dx.doi.org/10.3390/ijms23137132

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