Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development

Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development

BackgroundAccurate prediction of the disease severity of patients with COVID-19 would greatly improve care delivery and resource allocation and thereby reduce mortality risks, especially in less developed countries. Many patient-related factors, such as pre-existing comorbidi...

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Bibliographic Details
Main Authors: Aktar, Sakifa, Ahamad, Md Martuza, Rashed-Al-Mahfuz, Md, Azad, AKM, Uddin, Shahadat, Kamal, AHM, Alyami, Salem A, Lin, Ping-I, Islam, Sheikh Mohammed Shariful, Quinn, Julian MW, Eapen, Valsamma, Moni, Mohammad Ali
Format: Article
Language:English
Published: JMIR Publications 2021-04-01
Series:JMIR Medical Informatics
Online Access:https://medinform.jmir.org/2021/4/e25884

Internet

https://medinform.jmir.org/2021/4/e25884

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