BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data

Nowadays, quick, and accurate diagnosis of COVID-19 is a pressing need. This study presents a multimodal system to meet this need. The presented system employs a machine learning module that learns the required knowledge from the datasets collected from 930 COVID-19 patients hospitalized in Italy du...

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Detalles Bibliográficos
Autores principales: Rahman, Tawsifur, Chowdhury, Muhammad E. H., Khandakar, Amith, Mahbub, Zaid Bin, Hossain, Md Sakib Abrar, Alhatou, Abraham, Abdalla, Eynas, Muthiyal, Sreekumar, Islam, Khandaker Farzana, Kashem, Saad Bin Abul, Khan, Muhammad Salman, Zughaier, Susu M., Hossain, Maqsud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157130/
https://www.ncbi.nlm.nih.gov/pubmed/37362565
http://dx.doi.org/10.1007/s00521-023-08606-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157130/
https://www.ncbi.nlm.nih.gov/pubmed/37362565
http://dx.doi.org/10.1007/s00521-023-08606-w

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