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

Autor: Vasiliki Danilatou, Stylianos Nikolakakis, Despoina Antonakaki, Christos Tzagkarakis, Dimitrios Mavroidis, Theodoros Kostoulas, Sotirios Ioannidis

Publikováno v: International Journal of Molecular Sciences
International Journal of Molecular Sciences; Volume 23; Issue 13; Pages: 7132

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. T

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1037b652e6a9d65c6bb0fc5cdf9810bc
https://pubmed.ncbi.nlm.nih.gov/35806137