Prognosis of COVID-19 patients using lab tests: A data mining approach.

ABSTRACT:

Background

The rapid prevalence of coronavirus disease 2019 (COVID-19) has caused a pandemic worldwide and affected the lives of millions. The potential fatality of the disease has led to global public health concerns. Apart from clinical practice, artificial intelligence (AI) has provided a new model for the early diagnosis and prediction of disease based on machine learning (ML) algorithms. In this study, we aimed to make a prediction model for the prognosis of COVID-19 patients using data mining techniques.

Methods

In this study, a data set was obtained from the intelligent management system repository of 19 hospitals at Shahid Beheshti University of Medical Sciences in Iran. All patients admitted had shown positive polymerase chain reaction (PCR) test results. They were

SUBMITTER: Khounraz F 

PROVIDER: S-EPMC9826741 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature