Prediction of Patients with COVID-19 Requiring Intensive Care: A Cross-sectional Study Based on Machine-learning Approach from Iran.
Sabetian G, Azimi A, Kazemi A, Hoseini B, Asmarian N, Khaloo V, Zand F, Masjedi M, Shahriarirad R, Shahriarirad S.
Sabetian G, et al. Among authors: kazemi a.
Indian J Crit Care Med. 2022 Jun;26(6):688-695. doi: 10.5005/jp-journals-10071-24226.
Indian J Crit Care Med. 2022.
PMID: 35836646
Free PMC article.
The data were randomly partitioned into training and testing sets (70% and 30%, respectively) without overlapping. A decision-tree algorithm and multivariate logistic regression were performed to develop the models for predicting the cases based on their first 24 hours dat …
The data were randomly partitioned into training and testing sets (70% and 30%, respectively) without overlapping. A decision-tree al …