COVID Mortality Prediction with Machine Learning Methods: A Systematic Review and Critical Appraisal.

ABSTRACT: More than a year has passed since the report of the first case of coronavirus disease 2019 (COVID), and increasing deaths continue to occur. Minimizing the time required for resource allocation and clinical decision making, such as triage, choice of ventilation modes and admission to the intensive care unit is important. Machine learning techniques are acquiring an increasingly sought-after role in predicting the outcome of COVID patients. Particularly, the use of baseline machine learning techniques is rapidly developing in COVID mortality prediction, since a mortality prediction model could rapidly and effectively help clinical decision-making for COVID patients at imminent risk of death. Recent studies reviewed predictive models for SARS-CoV-2 diagnosis, severity, length of hospital sta

SUBMITTER: Bottino F 

PROVIDER: S-EPMC8467935 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature