Predicting ICU Admission in COVID-19-Infected Pregnant Women Using Machine Learning

mdpi.com December 18, 2024

Routinely collected clinical and laboratory data of COVID-19-infected pregnant women may help recognize high-risk groups who are more liable for complications and more severe course or prognosis and require an ICU admission.

Leucocyte counts, C-reactive protein, pregnancy week, eGFR, and hemoglobin appeared as significant predictors of high risk of severe infection requiring ICU admission.

A retrospective study using data from COVID-19-infected women admitted to one hospital in Astana and one in Shymkent, Kazakhstan, from May to July 2021.

The developed machine learning platform implements and compares the performance of eight binary classifiers, including Gaussian naïve Bayes, K-nearest neighbors, logistic regression with L2 regularization, random forest, AdaBoost, gradient boosting, eXtreme gradient boosting, and linear discriminant analysis