Machine learning for prediction of in-hospital mortality in lung cancer patients admitted to intensive care unit
<h4>Backgrounds</h4> The in-hospital mortality in lung cancer patients admitted to intensive care unit (ICU) is extremely high. This study intended to adopt machine learning algorithm models to predict in-hospital mortality of critically ill lung cancer for providing relative information...
Main Authors: | Tianzhi Huang, Dejin Le, Lili Yuan, Shoujia Xu, Xiulan Peng |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2023-01-01
|
Series: | PLoS ONE |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9879439/?tool=EBI |
Similar Items
-
Machine learning for prediction of in-hospital mortality in lung cancer patients admitted to intensive care unit.
by: Tianzhi Huang, et al.
Published: (2023-01-01) -
Mortality prediction of cirrhotic patients admitted to the Intensive Care Unit
by: Genaro Vazquez-Elizondo, et al.
Published: (2008-01-01) -
A Nomogram for Predicting Hospital Mortality in Patients with COVID-19 Admitted to the Intensive Care Unit
by: A. N. Kuzovlev, et al.
Published: (2022-02-01) -
Prediction of in-hospital mortality risk in intensive care unit with support vector machine
by: DENG Peng, et al.
Published: (2022-09-01) -
Usefulness of Glucose to Lymphocyte Ratio to Predict in-Hospital Mortality in Patients with AECOPD Admitted to the Intensive Care Unit
by: Tianyang Hu, et al.
Published: (2022-12-01)