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

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 c...

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Bibliographic Details
Main Authors: Xuehan Liu, Md Rakibul Hasan, Khandaker Asif Ahmed, Md Zakir Hossain
Format: Article
Language:English
Published: BMC 2023-01-01
Series:BMC Bioinformatics
Subjects:
COVID-19 diagnosis
Severity
Multi-omics
Machine learning
Autoencoder
Online Access:https://doi.org/10.1186/s12859-022-05127-6

Internet

https://doi.org/10.1186/s12859-022-05127-6

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