Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis.

ABSTRACT:

Background

With the global spread of COVID-19, the world has seen many patients, including many severe cases. The rapid development of machine learning (ML) has made significant disease diagnosis and prediction achievements. Current studies have confirmed that omics data at the host level can reflect the development process and prognosis of the disease. Since early diagnosis and effective treatment of severe COVID-19 patients remains challenging, this research aims to use omics data in different ML models for COVID-19 diagnosis and prognosis. We used several ML models on omics data of a large number of individuals to first predict whether patients are COVID-19 positive or negative, followed by the severity of the disease.

Results

On the COVID-19 diagnosis task, we got the be

SUBMITTER: Liu X 

PROVIDER: S-EPMC9817417 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature