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

BACKGROUND: Accurate 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 comorbidities, affect disease s...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8045777/
https://www.ncbi.nlm.nih.gov/pubmed/33779565
http://dx.doi.org/10.2196/25884

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8045777/
https://www.ncbi.nlm.nih.gov/pubmed/33779565
http://dx.doi.org/10.2196/25884

Ejemplares similares