A machine learning model for predicting deterioration of COVID-19 inpatients.

ABSTRACT: The COVID-19 pandemic has been spreading worldwide since December 2019, presenting an urgent threat to global health. Due to the limited understanding of disease progression and of the risk factors for the disease, it is a clinical challenge to predict which hospitalized patients will deteriorate. Moreover, several studies suggested that taking early measures for treating patients at risk of deterioration could prevent or lessen condition worsening and the need for mechanical ventilation. We developed a predictive model for early identification of patients at risk for clinical deterioration by retrospective analysis of electronic health records of COVID-19 inpatients at the two largest medical centers in Israel. Our model employs machine learning methods and uses routine clinical features

SUBMITTER: Noy O 

PROVIDER: S-EPMC8850417 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature