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

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...

Full description

Bibliographic Details
Main Authors: Vasiliki Danilatou, Stylianos Nikolakakis, Despoina Antonakaki, Christos Tzagkarakis, Dimitrios Mavroidis, Theodoros Kostoulas, Sotirios Ioannidis
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:International Journal of Molecular Sciences
Subjects:
venous thromboembolism
cancer
mortality
ICU
interpretable machine learning
Online Access:https://www.mdpi.com/1422-0067/23/13/7132

Internet

https://www.mdpi.com/1422-0067/23/13/7132

Similar Items